Triple
T8641339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hurlburt Field |
E204654
|
entity |
| Predicate | hasCode |
P9567
|
FINISHED |
| Object | HRT |
E204654
|
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: HRT | Statement: [Hurlburt Field, hasCode, HRT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HRT Context triple: [Hurlburt Field, hasCode, HRT]
-
A.
HRT
HRT is the FBI’s elite tactical unit specializing in high-risk hostage rescue, counterterrorism, and other critical law enforcement operations.
-
B.
HRT
chosen
HRT is the FAA airport code for Hurlburt Field, a U.S. Air Force installation and airfield in Florida.
-
C.
HRT
HRT is the standard region code used to represent Hertfordshire, a county in southern England.
-
D.
HRT
HRT is a common abbreviation that most often stands for hormone replacement therapy, a medical treatment used to supplement or replace hormones in the body.
-
E.
HRT
HRT is the abbreviation for the Hefei Metro, the rapid transit system serving the city of Hefei in China.
- 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_69ca834ca1c88190a11ffb0200342fac |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc4795b07081908bfc9ebf35a50f07 |
completed | March 31, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cebc3b1f508190978df29d995f494c |
completed | April 2, 2026, 6:58 p.m. |
Created at: March 30, 2026, 6:28 p.m.