Triple
T1956263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NUQ |
E42275
|
entity |
| Predicate | FAAIdentifier |
P420
|
FINISHED |
| Object | NUQ |
E42275
|
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: NUQ | Statement: [NUQ, FAAIdentifier, NUQ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NUQ Context triple: [NUQ, FAAIdentifier, NUQ]
-
A.
NUQ
chosen
NUQ is the IATA airport code for Moffett Federal Airfield, a joint civil-military airfield located in Moffett Field, California.
-
B.
NQ
NQ is the station code for North Quincy, a Massachusetts Bay Transportation Authority (MBTA) Red Line rapid transit station in Quincy, Massachusetts.
-
C.
NUC
NUC is the standard abbreviation for the U.S. Navy Unit Commendation, a collective military award recognizing outstanding heroism or meritorious service by Navy units.
-
D.
Nuk
Nuk is a well-known baby care brand specializing in products like bottles, pacifiers, and accessories designed to support natural oral development.
-
E.
NU
NU is a leading Japanese national research university located in Nagoya, known for its strong programs in science, engineering, and the humanities.
- 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_69a8870eea088190a38781990812a9bc |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb37b4a38819099f98be92be91ade |
completed | March 7, 2026, 5:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adfbca5a7081908f3fa8eaa8f5aa3d |
completed | March 8, 2026, 10:44 p.m. |
Created at: March 4, 2026, 7:36 p.m.