Triple
T32336078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maritime Child Development Center |
E826175
|
entity |
| Predicate | operatorDuringWartime |
P46490
|
FINISHED |
| Object | U.S. government-sponsored childcare program |
—
|
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: U.S. government-sponsored childcare program | Statement: [Maritime Child Development Center, operatorDuringWartime, U.S. government-sponsored childcare program]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatorDuringWartime Context triple: [Maritime Child Development Center, operatorDuringWartime, U.S. government-sponsored childcare program]
-
A.
operatorDuringWar
chosen
Indicates that an entity operated or was active in its role during a time of war.
-
B.
operatorDuringWorldWarII
Indicates that an entity operated or was active in its role during the period of World War II.
-
C.
duringWorldWar
Indicates that one entity’s action, state, or relationship occurred within the temporal span of World War II.
-
D.
stateDuringWar
Indicates that a state or condition exists specifically in the context of, or for the duration of, a war or armed conflict.
-
E.
wartimeUse
Indicates that something is used or employed during a period of war or armed conflict.
- 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_69f34913d9048190befaa634025232be |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a00037bf4148190a58593d30efdd3f8 |
completed | May 10, 2026, 4:03 a.m. |
| PD | Predicate disambiguation | batch_6a0000b7af608190b718fc4111bcdad8 |
completed | May 10, 2026, 3:51 a.m. |
Created at: May 1, 2026, 12:48 a.m.