Triple
T16954897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tennant Creek Airport |
E411273
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object | TCA |
E409613
|
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: TCA | Statement: [Tennant Creek Airport, IATAcode, TCA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TCA Context triple: [Tennant Creek Airport, IATAcode, TCA]
-
A.
TCA
TCA is the three-letter ISO 3166-1 alpha-3 country code for the Turks and Caicos Islands.
-
B.
TCA
chosen
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 a prominent multidisciplinary arts and performance venue located in Tempe, Arizona.
-
E.
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.
- 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_69d886c9c9d481909afe222093641cae |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d01bb700819082a441c124be3cb6 |
completed | April 18, 2026, 6:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00d464762c8190a734ffdd83633f70 |
completed | May 10, 2026, 6:54 p.m. |
Created at: April 10, 2026, 5:31 a.m.