Triple
T9992893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RAAF Base Amberley |
E196930
|
entity |
| Predicate | hasIATACode |
P2569
|
FINISHED |
| Object | AMB |
E196930
|
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: AMB | Statement: [RAAF Base Amberley, hasIATACode, AMB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AMB Context triple: [RAAF Base Amberley, hasIATACode, AMB]
-
A.
AMB
chosen
AMB is the IATA airport code for RAAF Base Amberley, a major Royal Australian Air Force base in Queensland, Australia.
-
B.
AMA
AMA is the commonly used abbreviation for Japan’s Antimonopoly Act, the core law regulating competition and prohibiting monopolistic practices in the country.
-
C.
AMA
AMA is the leading professional association and lobbying group representing physicians and medical students in the United States.
-
D.
AAMB
AAMB is an acronym for the Al-Aqsa Martyrs Brigades, a Palestinian militant organization involved in the Israeli–Palestinian conflict.
-
E.
ABL
ABL is the commonly used abbreviation for the Academia Brasileira de Letras, Brazil’s foremost literary and language academy.
- 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_69ca82f1678c819093d06320a05f16a4 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdcb96c7308190902802ef5df764c1 |
completed | April 2, 2026, 1:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2582ac03481908e76c10218f419d5 |
completed | April 5, 2026, 12:40 p.m. |
Created at: March 30, 2026, 8:50 p.m.