Triple
T5644679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tacoma Narrows Airport |
E124355
|
entity |
| Predicate | FAA LID |
P420
|
FINISHED |
| Object | TIW |
E537354
|
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: TIW | Statement: [Tacoma Narrows Airport, FAA LID, TIW]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TIW Context triple: [Tacoma Narrows Airport, FAA LID, TIW]
-
A.
TIW
chosen
TIW is the IATA airport code for Tacoma Narrows Airport, a public airport serving the Tacoma, Washington area.
-
B.
Tiv
The Tiv are an ethnic group primarily found in central Nigeria, known for their rich agricultural traditions, distinctive language, and vibrant cultural festivals.
-
C.
TIJ
TIJ is the IATA airport code for Tijuana International Airport in Tijuana, Mexico.
-
D.
Tikkana
Tikkana was a prominent 13th-century Telugu poet and scholar best known for translating a major portion of the Mahabharata into Telugu and helping shape classical Telugu literature.
-
E.
TI
TI is a technology company best known for designing and manufacturing calculators, semiconductors, and various electronic components.
- 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_69c00824643c81909ffdb888a2d35189 |
completed | March 22, 2026, 3:17 p.m. |
| NER | Named-entity recognition | batch_69c022a8eccc8190837d4705670dc25e |
completed | March 22, 2026, 5:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c05a1d7af8819092e28ce9fb14d1f1 |
completed | March 22, 2026, 9:07 p.m. |
Created at: March 22, 2026, 3:41 p.m.