Triple
T2974695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Longmont |
E80364
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Boulder |
E53190
|
NE FINISHED |
How this triple was built (2 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: Boulder | Statement: [Longmont, locatedNear, Boulder]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boulder Context triple: [Longmont, locatedNear, Boulder]
-
A.
Boulder
Boulder is a town in Western Australia that now forms part of the city of Kalgoorlie-Boulder, historically known for its role in the Eastern Goldfields mining region.
-
B.
Boulder, Colorado
chosen
Boulder, Colorado is a city at the foothills of the Rocky Mountains known for its research institutions, outdoor recreation, and vibrant university community.
-
C.
Denver
Denver is a small village and civil parish in Norfolk, England, known for its historic drainage works and rural setting near the town of Downham Market.
-
D.
Denver
Denver is a central character in Toni Morrison’s novel "Beloved," portrayed as Sethe’s introspective and resilient daughter who struggles with isolation and the legacy of slavery.
-
E.
Denver
Denver is a fictional member of the gang in the Spanish television series "Money Heist," known for his distinctive laugh and emotional, impulsive nature.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ad8b14ffe881908ffed62f9595c867 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad99894bb0819099fa5cc5166c0eeb |
completed | March 8, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5d02c25408190ba366a6a5e422046 |
completed | March 14, 2026, 9:16 p.m. |
Created at: March 8, 2026, 2:58 p.m.