Triple
T7581448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Last Glacial Maximum |
E179498
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | LGM |
E309210
|
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: LGM | Statement: [Last Glacial Maximum, alsoKnownAs, LGM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LGM Context triple: [Last Glacial Maximum, alsoKnownAs, LGM]
-
A.
Würm glaciation
chosen
The Würm glaciation was the last major glacial period of the Pleistocene in the Alps, marked by extensive ice coverage and shaping much of the region’s modern landscape.
-
B.
Gelo
Gelo is a film featuring Spanish actress Ivana Baquero in a prominent role.
-
C.
Lama glama
Lama glama is the domesticated South American camelid commonly known as the llama, used as a pack animal and for its wool.
-
D.
Lazgi
Lazgi is a vibrant and expressive traditional Uzbek dance known for its rapid hand movements, lively rhythms, and roots in the cultural heritage of the Khorezm region.
-
E.
Soligalich
Soligalich is a historic Russian town known for its preserved 18th–19th century architecture and location along the Kostroma River in Kostroma Oblast.
- 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_69c69f327db881909a21ae3b156f8ded |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f97717048190b0ca1a74ed8a817e |
completed | March 27, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8617b8934819094f596e6a037e468 |
completed | March 28, 2026, 11:17 p.m. |
Created at: March 27, 2026, 3:52 p.m.