Triple
T16522085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Service Company |
E401343
|
entity |
| Predicate | supportsTypeOfUnit |
P55850
|
FINISHED |
| Object | headquarters unit |
—
|
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: headquarters unit | Statement: [Service Company, supportsTypeOfUnit, headquarters unit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsTypeOfUnit Context triple: [Service Company, supportsTypeOfUnit, headquarters unit]
-
A.
supportedUnit
Indicates that one entity provides assistance, resources, or backing to another entity functioning as a unit or sub-organization.
-
B.
typicalSupportedUnitType
chosen
Indicates the kind or category of unit that an entity is normally designed or expected to support.
-
C.
hasUnitOf
Indicates that a quantity, measurement, or value is expressed in terms of a specific unit.
-
D.
governsTypeOfUnit
Indicates that one entity has authority or control over the type or category of unit to which another entity belongs.
-
E.
isAUnitOf
Indicates that one entity functions as a unit or standard measure in which the other entity is quantified or expressed.
- 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_69d883838abc8190bc79cb2d41733ce2 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e8158cc8190aa77c6d37bd7ec76 |
completed | April 18, 2026, 7:10 a.m. |
| PD | Predicate disambiguation | batch_69e296995d388190b88ebe189dce890d |
completed | April 17, 2026, 8:22 p.m. |
Created at: April 10, 2026, 5:14 a.m.