Triple
T5700696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Island Garden |
E125651
|
entity |
| Predicate | hasRebuiltFacilityOnSite |
P64256
|
FINISHED |
| Object | Yes |
—
|
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: Yes | Statement: [Island Garden, hasRebuiltFacilityOnSite, Yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRebuiltFacilityOnSite Context triple: [Island Garden, hasRebuiltFacilityOnSite, Yes]
-
A.
hasReconstructedSite
Indicates that an entity has a site or location that has been rebuilt or restored after damage, destruction, or alteration.
-
B.
hasReconstructionWork
Indicates that an entity is undergoing, has undergone, or is associated with reconstruction or restoration work.
-
C.
haveReconstructionWork
Indicates that an entity is undergoing or is associated with reconstruction or restoration work.
-
D.
mainFacilityConstructed
Indicates that the primary facility associated with an entity has been built or completed.
-
E.
hasRebuilt
chosen
Indicates that an entity has restored, reconstructed, or built again something that previously existed or was damaged or destroyed.
- 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_69c0082c96988190b3a6a201edce472a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c024540afc8190aee3760f71ea39c2 |
completed | March 22, 2026, 5:18 p.m. |
| PD | Predicate disambiguation | batch_69c021c2d8bc8190b947c7d1f423d2f3 |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:45 p.m.