Triple
T2802948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chaves County |
E53186
|
entity |
| Predicate | hasPostalAbbreviationState |
P2461
|
FINISHED |
| Object | NM |
E103548
|
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: NM | Statement: [Chaves County, hasPostalAbbreviationState, NM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NM Context triple: [Chaves County, hasPostalAbbreviationState, NM]
-
A.
NM
chosen
NM is the standard two-letter U.S. postal abbreviation for the state of New Mexico.
-
B.
NH
NH is the official two-letter United States Postal Service abbreviation for the state of New Hampshire.
-
C.
NH
NH is the two-letter IATA airline designator assigned to All Nippon Airways, Japan’s largest airline.
-
D.
NW
NW is an abbreviation used as a vehicle registration code associated with the German federal state of North Rhine-Westphalia.
-
E.
NW
NW is a 2012 novel by British author Zadie Smith that explores the intersecting lives of residents in northwest London, examining themes of class, race, and identity.
- 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_69ab495a90788190941b6917e1eca3a6 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abde12b33481908b276760a922db9c |
completed | March 7, 2026, 8:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc671964c81908cff1cfbd70c3786 |
completed | March 10, 2026, 7:21 a.m. |
Created at: March 6, 2026, 9:59 p.m.