Triple
T21580619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TCA |
E532511
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | TCA |
—
|
NE NERFINISHED |
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: TCA | Statement: [TCA, abbreviation, TCA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TCA Context triple: [TCA, abbreviation, TCA]
-
A.
TCA
TCA is the three-letter ISO 3166-1 alpha-3 country code for the Turks and Caicos Islands.
-
B.
TCA
TCA is the IATA airport code for Tennant Creek Airport in Australia’s Northern Territory.
-
C.
TCA
TCA is the commonly used abbreviation for the Technical Cooperation Administration, a former U.S. government agency responsible for administering foreign aid and technical assistance programs.
-
D.
TCA
TCA is the commonly used abbreviation for the Family Smoking Prevention and Tobacco Control Act of 2009, a U.S. law granting the FDA authority to regulate tobacco products.
-
E.
TCA
TCA is a prominent multidisciplinary arts and performance venue located in Tempe, Arizona.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
Provenance (2 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_69e0c4618bec8190bcb0feb74568cbb1 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eeeb5c496c819093113dd5790fca48 |
completed | April 27, 2026, 4:51 a.m. |
Created at: April 16, 2026, 6:31 p.m.