Triple
T7260302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beach 25th Street |
E159631
|
entity |
| Predicate | hasTimePeriodOfService |
P75989
|
FINISHED |
| Object | 24/7 |
—
|
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: 24/7 | Statement: [Beach 25th Street, hasTimePeriodOfService, 24/7]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTimePeriodOfService Context triple: [Beach 25th Street, hasTimePeriodOfService, 24/7]
-
A.
militaryServicePeriod
Indicates the span of time during which an entity serves or has served in a military capacity.
-
B.
yearsOfMilitaryService
Indicates the number of years an entity has served or is recorded as serving in the military.
-
C.
servedInOfficeTo
Indicates that one entity held and performed the duties of a particular office or position for the benefit or under the authority of another entity.
-
D.
periodOfKeyPoliticalRole
Indicates the time span during which an entity held a particular key political role or office.
-
E.
hasCareerService
Indicates that an entity provides or is associated with a career-related support or advisory service for another entity.
- 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_69c68838f9948190875fd60b2351230c |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eb088dac8190b353f6ea3d686025 |
completed | March 27, 2026, 8:39 p.m. |
| PD | Predicate disambiguation | batch_69c6e76876608190ac4652bc7153302e |
completed | March 27, 2026, 8:24 p.m. |
| PDg | Predicate description generation | batch_69c6eb06acd881908a1735fbbbd5756f |
completed | March 27, 2026, 8:39 p.m. |
Created at: March 27, 2026, 2:57 p.m.