Triple
T11888634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gazprom |
E282855
|
entity |
| Predicate | operatesPipeline |
P3695
|
FINISHED |
| Object |
Blue Stream
Blue Stream is a major natural gas pipeline system that transports Russian gas to Turkey via a route under the Black Sea.
|
E953396
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Blue Stream | Statement: [Gazprom, operatesPipeline, Blue Stream]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blue Stream Context triple: [Gazprom, operatesPipeline, Blue Stream]
-
A.
Blue Danube bomb
The Blue Danube bomb was the United Kingdom’s first operational nuclear weapon, an early free-fall atomic bomb developed in the 1950s for delivery by strategic bombers.
-
B.
Operation Iskra
Operation Iskra was a major Soviet World War II offensive in January 1943 that partially broke the German siege of Leningrad by establishing a land corridor to the city.
-
C.
Operation Harel
Operation Harel was a 1948 Israeli military operation during the Arab–Israeli War, focused on securing and supplying the besieged road to Jerusalem.
-
D.
Operation Tiderace
Operation Tiderace was the Allied World War II operation to liberate and reoccupy Singapore from Japanese control in September 1945.
-
E.
Mission to Moscow
Mission to Moscow is a film featuring Indian actress Persis Khambatta, known for her international roles in cinema.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Blue Stream Triple: [Gazprom, operatesPipeline, Blue Stream]
Generated description
Blue Stream is a major natural gas pipeline system that transports Russian gas to Turkey via a route under the Black Sea.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Blue Stream Target entity description: Blue Stream is a major natural gas pipeline system that transports Russian gas to Turkey via a route under the Black Sea.
-
A.
Blue Danube bomb
The Blue Danube bomb was the United Kingdom’s first operational nuclear weapon, an early free-fall atomic bomb developed in the 1950s for delivery by strategic bombers.
-
B.
Operation Iskra
Operation Iskra was a major Soviet World War II offensive in January 1943 that partially broke the German siege of Leningrad by establishing a land corridor to the city.
-
C.
Operation Harel
Operation Harel was a 1948 Israeli military operation during the Arab–Israeli War, focused on securing and supplying the besieged road to Jerusalem.
-
D.
Operation Tiderace
Operation Tiderace was the Allied World War II operation to liberate and reoccupy Singapore from Japanese control in September 1945.
-
E.
Mission to Moscow
Mission to Moscow is a film featuring Indian actress Persis Khambatta, known for her international roles in cinema.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d6ab2a90b08190a4e818821cc93e6d |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903024afc8190a97aa3263dc7d017 |
completed | April 10, 2026, 2:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f417e919548190acbc248879f957ec |
completed | May 1, 2026, 3:03 a.m. |
| NEDg | Description generation | batch_69f41f1abaa481908b8a6873a07af848 |
completed | May 1, 2026, 3:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f422778a10819093bc2473ef30fe71 |
completed | May 1, 2026, 3:48 a.m. |
Created at: April 8, 2026, 9:44 p.m.