Triple
T5488090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National War Labor Board (World War I) |
E123633
|
entity |
| Predicate | operatedInTheSector |
P1670
|
FINISHED |
| Object | war-related industries |
—
|
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: war-related industries | Statement: [National War Labor Board (World War I), operatedInTheSector, war-related industries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatedInTheSector Context triple: [National War Labor Board (World War I), operatedInTheSector, war-related industries]
-
A.
operatedAmong
Indicates that an entity carried out operations or activities within, or in coordination with, a specified group, set, or collection of other entities.
-
B.
operatesInSegment
chosen
Indicates that an entity conducts its activities or provides its services within a specified market or operational segment.
-
C.
operatedInRegion
Indicates that an entity conducted operations or activities within a specified geographic region.
-
D.
observedBySector
Indicates that something (such as an event, object, or phenomenon) is monitored, detected, or recorded by a specific sector or segment.
-
E.
operatedPortionsOf
Indicates that an agent has performed operational control or management over specific parts or segments of a larger system, asset, or entity.
- 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_69bd464a2d908190869324ce176779c8 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd93e5d0f08190a6cc9fc408b7c5bb |
completed | March 20, 2026, 6:37 p.m. |
| PD | Predicate disambiguation | batch_69bd91a73b148190a865243536a4fe76 |
completed | March 20, 2026, 6:27 p.m. |
Created at: March 20, 2026, 2:10 p.m.