Triple
T14267937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Club Tijuana |
E353698
|
entity |
| Predicate | abbreviation |
P43
|
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: [Club Tijuana, abbreviation, TIJ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TIJ Context triple: [Club Tijuana, abbreviation, TIJ]
-
A.
TIJ
chosen
TIJ is the IATA airport code for Tijuana International Airport in Tijuana, Mexico.
-
B.
tj
tj is the GitHub username of TJ Holowaychuk, a prolific open-source developer known for creating popular Node.js and Go tools and frameworks.
-
C.
TJT
TJT is the time zone used in Tajikistan, corresponding to Tajikistan Time (UTC+5).
-
D.
TI
TI is the official vehicle registration code used on license plates for vehicles registered in the Swiss Canton of Ticino.
-
E.
TI
TI is a popular hotel and casino on the Las Vegas Strip known for its pirate-themed past and vibrant resort atmosphere.
- 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_69d8278d25148190abf1a8c8f5f533ad |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6358c2288190ac1fd26e688a605d |
completed | April 14, 2026, 3:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd326551b08190ae8fe220a6422339 |
completed | May 8, 2026, 12:46 a.m. |
Created at: April 10, 2026, 1:10 a.m.