Triple
T10823115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | H-34 Choctaw |
E255423
|
entity |
| Predicate | usMarineCorpsDesignation |
P79763
|
FINISHED |
| Object | HUS |
—
|
LITERAL 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: HUS | Statement: [H-34 Choctaw, usMarineCorpsDesignation, HUS]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usMarineCorpsDesignation Context triple: [H-34 Choctaw, usMarineCorpsDesignation, HUS]
-
A.
designationByUSMC
chosen
Indicates that an entity has been formally assigned a specific designation or identifier by the United States Marine Corps (USMC).
-
B.
hasMilitaryDesignation
Indicates that an entity is assigned a specific military-related code, title, or classification.
-
C.
USMarineOfficer
Indicates that the subject holds an officer rank in the United States Marine Corps.
-
D.
USNDesignation
Indicates the formal designation assigned by the United States Navy to identify and classify a ship, aircraft, or other naval asset.
-
E.
airForceDesignation
Indicates that one entity is the official designation or code assigned to something by an air force.
- F. None of above.
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_69d6aa8081448190a9324184f2bd1c26 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7344c551c8190a7491d468b8a4a04 |
completed | April 9, 2026, 5:08 a.m. |
| PD | Predicate disambiguation | batch_69d70d1bf3648190b36fa96ea018e0dc |
completed | April 9, 2026, 2:21 a.m. |
Created at: April 8, 2026, 9:19 p.m.