Triple
T35627771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | J1939 |
E1029499
|
entity |
| Predicate | hasIdentifierField |
P183467
|
FINISHED |
| Object | priority |
—
|
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: priority | Statement: [J1939, hasIdentifierField, priority]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasIdentifierField Context triple: [J1939, hasIdentifierField, priority]
-
A.
haveIdentifier
Indicates that an entity is associated with a specific identifier used to uniquely reference or distinguish it.
-
B.
hasKeyField
Indicates that one entity possesses or defines a primary identifying field used as a key in relation to another entity.
-
C.
hasIdentifierSystem
Indicates that an entity is associated with a particular system or scheme used to assign and manage its identifiers.
-
D.
hasRouteIdentifier
Indicates that an entity is associated with a specific route code or identifier used to distinguish it from other routes.
-
E.
hasLogicalIdentifier
Indicates that an entity is associated with a specific logical identifier used to uniquely reference or distinguish it within an information or data model.
- F. None of above. chosen
Provenance (4 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_69f76e07bb0c8190968ea2d836fc42c9 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79f7340e4819092a1a47f7028e63f |
completed | May 3, 2026, 7:18 p.m. |
| PD | Predicate disambiguation | batch_69f79e4bdbcc8190be7a0d2cf8a77b64 |
completed | May 3, 2026, 7:13 p.m. |
| PDg | Predicate description generation | batch_69f79ec14ce08190b22cee0b40d33743 |
completed | May 3, 2026, 7:15 p.m. |
Created at: May 3, 2026, 4:05 p.m.