Triple
T17300798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Halliburton Company |
E420033
|
entity |
| Predicate | stockTicker |
P1447
|
FINISHED |
| Object | HAL |
E420033
|
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: [Halliburton Company, stockTicker, HAL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HAL Context triple: [Halliburton Company, stockTicker, HAL]
-
A.
HAL
HAL is the ICAO airline designator used to identify Hawaiian Airlines in international aviation operations.
-
B.
HAL
chosen
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 the National Rail station code for Hale railway station in Greater Manchester, England.
- 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_69d886db32608190a61e18862c5a8af6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e438f9e5ac8190ba0b5820790112d9 |
completed | April 19, 2026, 2:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0180dc929c819096a7a5dc81e5b6ef |
completed | May 11, 2026, 7:10 a.m. |
Created at: April 10, 2026, 5:41 a.m.