Triple
T5855382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hawaiian Airlines |
E130137
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object | HAL |
E129187
|
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: HAL | Statement: [Hawaiian Airlines, ICAOcode, HAL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HAL Context triple: [Hawaiian Airlines, ICAOcode, HAL]
-
A.
HAL
chosen
HAL is the ICAO airline designator used to identify Hawaiian Airlines in international aviation operations.
-
B.
HAL
HAL is the stock ticker symbol for Halliburton Company, a major American oilfield services and energy industry equipment provider.
-
C.
HAL
HAL is the vehicle registration code used on license plates for the German city of Halle (Saale).
-
D.
HAL
HAL is an open-access multidisciplinary archive and repository for scholarly documents, widely used by researchers to share and preserve their scientific publications.
-
E.
Hal
Hal is a masculine given name, commonly used as a diminutive form of Harold.
- 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_69c0084de39081909eb34e6bed74215a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03554651c8190b3009d41eecf6779 |
completed | March 22, 2026, 6:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0a1bc58d081908568294278cbf3a9 |
completed | March 23, 2026, 2:13 a.m. |
Created at: March 22, 2026, 3:55 p.m.