Triple
T17660265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Westgate Hotel, Newport |
E440230
|
entity |
| Predicate | hasPredecessorOnSite |
P2283
|
FINISHED |
| Object | earlier Westgate inn |
—
|
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: earlier Westgate inn | Statement: [Westgate Hotel, Newport, hasPredecessorOnSite, earlier Westgate inn]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPredecessorOnSite Context triple: [Westgate Hotel, Newport, hasPredecessorOnSite, earlier Westgate inn]
-
A.
predecessorLocatedAt
chosen
Indicates that the location specified was the place where the immediately preceding version, state, or instance of an entity was situated.
-
B.
hasPredecessorStructureFrom
Indicates that one structure existed or was established before another structure in a sequential or developmental order.
-
C.
hasPredecessorGeneration
Indicates that one generation directly precedes another in a temporal or genealogical sequence.
-
D.
hasPredecessorRoleIn
Indicates that one role functioned earlier in time or sequence relative to another role within the same context or position.
-
E.
predecessorStateOf
Indicates that one state occurs immediately before and leads into another state in a sequence or process.
- 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_69d8b9e87e18819087104a44dc4dc5b1 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e46ea5270c81909d374c9e3946cea6 |
completed | April 19, 2026, 5:56 a.m. |
| PD | Predicate disambiguation | batch_69e3cde007d8819090dd92eea9f022cc |
completed | April 18, 2026, 6:30 p.m. |
Created at: April 10, 2026, 9:42 a.m.