Triple
T5458994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kingston Penitentiary (historic) |
E122548
|
entity |
| Predicate | hasGatehouse |
P64180
|
FINISHED |
| Object | main stone gatehouse on King Street West |
—
|
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: main stone gatehouse on King Street West | Statement: [Kingston Penitentiary (historic), hasGatehouse, main stone gatehouse on King Street West]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGatehouse Context triple: [Kingston Penitentiary (historic), hasGatehouse, main stone gatehouse on King Street West]
-
A.
hasGate
Indicates that one entity possesses, includes, or is equipped with a gate as part of its structure or configuration.
-
B.
hasGatekeeper
Indicates that one entity serves as a controlling or mediating gatekeeper for access to another entity.
-
C.
hasFaregates
Indicates that an entity is equipped with or contains faregates used to control or validate access, typically for paid entry.
-
D.
hasGateRange
Indicates the range of values or interval within which a gate or gating parameter is valid or operates.
-
E.
hasGatesFor
Indicates that one entity is equipped with or provides access through one or more gates intended 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_69bd46424248819085282ddf50a565f3 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd927c946c8190aef40679199fede3 |
completed | March 20, 2026, 6:31 p.m. |
| PD | Predicate disambiguation | batch_69bd91a0d96c8190bd1299edbf764bbb |
completed | March 20, 2026, 6:27 p.m. |
| PDg | Predicate description generation | batch_69bd927b0b4c81909d5e0f594822e3f9 |
completed | March 20, 2026, 6:31 p.m. |
Created at: March 20, 2026, 2:08 p.m.