Triple
T16024267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Regional Force Surveillance Group |
E388678
|
entity |
| Predicate | typeOfUnitCoordinated |
P121408
|
FINISHED |
| Object | regional force surveillance 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: regional force surveillance unit | Statement: [Regional Force Surveillance Group, typeOfUnitCoordinated, regional force surveillance unit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfUnitCoordinated Context triple: [Regional Force Surveillance Group, typeOfUnitCoordinated, regional force surveillance unit]
-
A.
typeOfUnit
Indicates that one entity specifies the kind or category of measurement unit that the other entity belongs to.
-
B.
coordinateUnit
Indicates that one unit serves as a coordinate or reference unit relative to another in a measurement, spatial, or organizational context.
-
C.
natureOfUnit
Indicates the type or category that characterizes what kind of unit something is (e.g., its nature or classification as a unit).
-
D.
spatialUnitType
Indicates the specific kind or category of spatial unit (e.g., parcel, building, region) that characterizes the spatial entity in question.
-
E.
basedUnitType
Indicates that one unit is defined or derived in terms of another underlying (base) unit type.
- 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_69d86dada3808190825d5f80d72fbe88 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1858a00888190b8505071575dc56f |
completed | April 17, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69e1826a4f7c8190aba6d4f1075141b0 |
completed | April 17, 2026, 12:44 a.m. |
| PDg | Predicate description generation | batch_69e185879c10819080a18e24969b5a6d |
completed | April 17, 2026, 12:57 a.m. |
Created at: April 10, 2026, 4:55 a.m.