Triple
T2780500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tijuana International Airport |
E61680
|
entity |
| Predicate | IATACode |
P418
|
FINISHED |
| Object | TIJ |
E54632
|
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: TIJ | Statement: [Tijuana International Airport, IATACode, TIJ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TIJ Context triple: [Tijuana International Airport, IATACode, TIJ]
-
A.
TIJ
chosen
TIJ is the IATA airport code for Tijuana International Airport in Tijuana, Mexico.
-
B.
TI
TI is a technology company best known for designing and manufacturing calculators, semiconductors, and various electronic components.
-
C.
TAI
TAI is the high-precision time standard used worldwide as the basis for civil timekeeping and scientific measurements.
-
D.
TJ
TJ is the two-letter ISO 3166-1 alpha-2 country code assigned to Tajikistan.
-
E.
JT
JT is a 1977 studio album by American singer-songwriter James Taylor that marked his commercial resurgence with hits like "Handy Man" and "Your Smiling Face."
- 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_69ab4b7e43c48190997b8fc8fb1663ab |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdd997ebc8190bff88fe549827615 |
completed | March 7, 2026, 8:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc05cf84881908e771471dbda4c8d |
completed | March 10, 2026, 6:55 a.m. |
Created at: March 6, 2026, 9:57 p.m.