Triple
T34701627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parks Road, Oxford |
E1000385
|
entity |
| Predicate | hasOnItsWestSide |
P31095
|
FINISHED |
| Object | Oxford University Museum of Natural History |
—
|
NE NERFINISHED |
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: Oxford University Museum of Natural History | Statement: [Parks Road, Oxford, hasOnItsWestSide, Oxford University Museum of Natural History]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOnItsWestSide Context triple: [Parks Road, Oxford, hasOnItsWestSide, Oxford University Museum of Natural History]
-
A.
hasTerminusWest
Indicates that something has its western endpoint, terminus, or final stop at the referenced entity.
-
B.
situatedOnSideOf
chosen
Indicates that one entity is located along or beside the lateral part or edge of another entity.
-
C.
locatedWestOf
Indicates that one entity is positioned geographically to the west of another entity.
-
D.
hasWestFace
Indicates that an entity has a side, surface, or face that is oriented toward the west.
-
E.
hasCityOnEastSide
Indicates that one entity is a city located on the eastern side of another referenced entity or area.
- 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_69f76dab937881909c86f1b9ad50445f |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69fbad1e94988190b86d447a68e65067 |
completed | May 6, 2026, 9:05 p.m. |
| PD | Predicate disambiguation | batch_69fba881b8e0819094790935152b99a1 |
completed | May 6, 2026, 8:45 p.m. |
Created at: May 3, 2026, 3:59 p.m.