Triple
T2552518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stonehenge |
E56657
|
entity |
| Predicate | visitorCentreOpened |
P40798
|
FINISHED |
| Object | 2013 |
—
|
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: 2013 | Statement: [Stonehenge, visitorCentreOpened, 2013]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: visitorCentreOpened Context triple: [Stonehenge, visitorCentreOpened, 2013]
-
A.
visitorCenter
Indicates that a location serves as a visitor center for a place, providing information or services to visitors of that place.
-
B.
museumOpened
Indicates that a museum has begun operating and is officially open to the public from a specific time or date.
-
C.
hasVisitorCenterBy
Indicates that a location or site is served or administered by a specific visitor center.
-
D.
visitorAttractionStatus
Indicates the current operational or accessibility status of a visitor attraction (e.g., open, closed, restricted).
-
E.
visitorAttractionSince
Indicates that an entity has served as a visitor attraction starting from a specified point in time.
- 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_69ab4a4bfec081908039988ec4c86e28 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd5a33234819082ad49fa6594b6be |
completed | March 7, 2026, 7:37 a.m. |
| PD | Predicate disambiguation | batch_69abd0c8b6f08190a68645db3e8b779a |
completed | March 7, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69abd5a1cd508190a660b9a3c6b7cbcb |
completed | March 7, 2026, 7:37 a.m. |
Created at: March 6, 2026, 9:48 p.m.