Triple
T23579952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bumpkin Island |
E582171
|
entity |
| Predicate | hasStructureRuins |
P32402
|
FINISHED |
| Object | hospital buildings |
—
|
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: hospital buildings | Statement: [Bumpkin Island, hasStructureRuins, hospital buildings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStructureRuins Context triple: [Bumpkin Island, hasStructureRuins, hospital buildings]
-
A.
hasRuin
chosen
Indicates that one entity possesses, contains, or is associated with a ruin or ruined structure.
-
B.
usesAncientStructure
Indicates that one entity makes use of, incorporates, or relies on an ancient structure in its function, design, or activity.
-
C.
hasMonasteryRuins
Indicates that an entity possesses or contains the remains or ruins of a former monastery.
-
D.
hasDemolitionOrDestruction
Indicates that one entity causes, undergoes, or is associated with the demolition or destruction of another entity.
-
E.
replacedStructureDemolished
Indicates that a structure which has been replaced by another has subsequently been demolished.
- 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_69e248f8d8248190acd5aee77f0d1709 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1afd8e5ec81909fbdcf68bc14078e |
completed | April 29, 2026, 7:14 a.m. |
| PD | Predicate disambiguation | batch_69f118bcc0b08190b25a8dddfd461a0e |
completed | April 28, 2026, 8:29 p.m. |
Created at: April 17, 2026, 6:39 p.m.