Triple
T7756754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Special Operations Center |
E175916
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object |
Yastreb unit
The Yastreb unit is a specialized sub-unit within a special operations structure, likely focused on high-risk, elite tactical missions.
|
E686053
|
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: Yastreb unit | Statement: [Special Operations Center, hasComponent, Yastreb unit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yastreb unit Context triple: [Special Operations Center, hasComponent, Yastreb unit]
-
A.
YB
YB is the common abbreviation for BSC Young Boys, a professional football club based in Bern, Switzerland.
-
B.
YBUD
YBUD is the ICAO airport code assigned to Bundaberg Airport in Queensland, Australia.
-
C.
YREB
YREB is a major Chinese economic development region centered along the Yangtze River, encompassing multiple provinces and key cities to promote coordinated growth and integration.
-
D.
Y-blokka
Y-blokka was a modernist government office building in Oslo, Norway, renowned for its distinctive Y-shaped design and integrated Pablo Picasso murals.
-
E.
Yat
Yat is the given name of Yat Malmgren, a notable dancer, choreographer, and acting teacher known for developing a movement-based acting technique.
- 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: Yastreb unit Triple: [Special Operations Center, hasComponent, Yastreb unit]
Generated description
The Yastreb unit is a specialized sub-unit within a special operations structure, likely focused on high-risk, elite tactical missions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yastreb unit Target entity description: The Yastreb unit is a specialized sub-unit within a special operations structure, likely focused on high-risk, elite tactical missions.
-
A.
YB
YB is the common abbreviation for BSC Young Boys, a professional football club based in Bern, Switzerland.
-
B.
YBUD
YBUD is the ICAO airport code assigned to Bundaberg Airport in Queensland, Australia.
-
C.
YREB
YREB is a major Chinese economic development region centered along the Yangtze River, encompassing multiple provinces and key cities to promote coordinated growth and integration.
-
D.
Y-blokka
Y-blokka was a modernist government office building in Oslo, Norway, renowned for its distinctive Y-shaped design and integrated Pablo Picasso murals.
-
E.
Yat
Yat is the given name of Yat Malmgren, a notable dancer, choreographer, and acting teacher known for developing a movement-based acting technique.
- 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_69c6996180088190832e38e8d83ff54a |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c703db54c08190a6feb548adef929f |
completed | March 27, 2026, 10:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8be60e34c8190a0a1c1a10cbf39b1 |
completed | March 29, 2026, 5:53 a.m. |
| NEDg | Description generation | batch_69c8bf5909dc8190b90f899266df09f2 |
completed | March 29, 2026, 5:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8bfbb67888190a92de6c6c9562da4 |
completed | March 29, 2026, 5:59 a.m. |
Created at: March 27, 2026, 4:08 p.m.