Triple
T15732302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Murmansk Airport |
E381373
|
entity |
| Predicate | locatedInOrNear |
P40
|
FINISHED |
| Object |
Murmashi
Murmashi is a rural locality in Russia’s Murmansk Oblast, known primarily for serving as the site of Murmansk Airport.
|
E1174518
|
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: Murmashi | Statement: [Murmansk Airport, locatedInOrNear, Murmashi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Murmashi Context triple: [Murmansk Airport, locatedInOrNear, Murmashi]
-
A.
Tarmashirin
Tarmashirin was a 14th-century khan of the Chagatai Khanate known for converting to Islam and attempting to strengthen centralized rule, which contributed to internal conflicts and his eventual downfall.
-
B.
Molazzana
Molazzana is a small municipality in Tuscany, central Italy, known for its scenic location in the Garfagnana area of the Apennine mountains.
-
C.
Milcom
Milcom is the chief god of the ancient Ammonites, often associated with kingship and venerated in the region east of the Jordan River.
-
D.
Muşkara
Muşkara is the former name of the central Anatolian city now known as Nevşehir in Turkey.
-
E.
Murzuq
Murzuq is an oasis town in southwestern Libya that historically served as an important Saharan trade and caravan center in the Fezzan region.
- 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: Murmashi Triple: [Murmansk Airport, locatedInOrNear, Murmashi]
Generated description
Murmashi is a rural locality in Russia’s Murmansk Oblast, known primarily for serving as the site of Murmansk Airport.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Murmashi Target entity description: Murmashi is a rural locality in Russia’s Murmansk Oblast, known primarily for serving as the site of Murmansk Airport.
-
A.
Tarmashirin
Tarmashirin was a 14th-century khan of the Chagatai Khanate known for converting to Islam and attempting to strengthen centralized rule, which contributed to internal conflicts and his eventual downfall.
-
B.
Molazzana
Molazzana is a small municipality in Tuscany, central Italy, known for its scenic location in the Garfagnana area of the Apennine mountains.
-
C.
Milcom
Milcom is the chief god of the ancient Ammonites, often associated with kingship and venerated in the region east of the Jordan River.
-
D.
Muşkara
Muşkara is the former name of the central Anatolian city now known as Nevşehir in Turkey.
-
E.
Murzuq
Murzuq is an oasis town in southwestern Libya that historically served as an important Saharan trade and caravan center in the Fezzan region.
- 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_69d86d9cdb648190bf3171be0bd7d872 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04fd3614481908b2694b1d3550058 |
completed | April 16, 2026, 2:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff82fed7888190b45f28ac91e0079e |
completed | May 9, 2026, 6:54 p.m. |
| NEDg | Description generation | batch_69ff83b7a534819090e24491579376c3 |
completed | May 9, 2026, 6:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff844fa00c8190a47eb46394db097b |
completed | May 9, 2026, 7 p.m. |
Created at: April 10, 2026, 4:46 a.m.