Triple
T37661470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | End Ship |
E937725
|
entity |
| Predicate | canGenerateWithoutCityBelow |
P188593
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [End Ship, canGenerateWithoutCityBelow, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canGenerateWithoutCityBelow Context triple: [End Ship, canGenerateWithoutCityBelow, true]
-
A.
hasCityQualifier
Indicates that a city is associated with an additional descriptive qualifier, such as a status, role, or distinguishing attribute.
-
B.
hasTargetCity
Indicates that something is directed toward, intended for, or specifically associated with a particular city as its target.
-
C.
coversCity
Indicates that one entity extends over, includes, or geographically encompasses the area of a specified city.
-
D.
canBeBornIn
Indicates that an entity has the potential or possibility to be born in a specified place or context.
-
E.
hasNearbyCityFunction
Indicates that one entity serves as a nearby urban center or city-like service hub 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_69f76ed6df7c8190b018e5baea716ceb |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbaa19e4a88190b04f26c0d4e708fd |
completed | May 6, 2026, 8:52 p.m. |
| PD | Predicate disambiguation | batch_69fba8860f98819080b7bab05837b974 |
completed | May 6, 2026, 8:45 p.m. |
| PDg | Predicate description generation | batch_69fbaa108ee48190b84d13df3ef3e365 |
completed | May 6, 2026, 8:52 p.m. |
Created at: May 3, 2026, 4:18 p.m.