Triple
T8884935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Forbury Hill |
E211503
|
entity |
| Predicate | locatedWithinFormer |
P85528
|
FINISHED |
| Object | outer precinct of Reading Abbey |
—
|
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: outer precinct of Reading Abbey | Statement: [Forbury Hill, locatedWithinFormer, outer precinct of Reading Abbey]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedWithinFormer Context triple: [Forbury Hill, locatedWithinFormer, outer precinct of Reading Abbey]
-
A.
locatedAtFormer
Indicates that an entity is currently located at a place where another entity was previously located.
-
B.
locatedInFormerNamePlace
Indicates that an entity is located in a place that is referred to by its former or historical name rather than its current name.
-
C.
locatedInFormerAdministrativeTerritory
Indicates that an entity is situated within the boundaries of an administrative territory that no longer exists or has been reorganized.
-
D.
locatedInFormerState
Indicates that an entity is or was geographically situated within the boundaries of a political state that no longer exists in its former form.
-
E.
formerlyLocatedOn
Indicates that an entity was once located on or situated upon another entity, but is no longer in that position.
- 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_69ca838f9e20819096ab1f236a70381a |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc616cf8c48190a27b381e48f23377 |
completed | April 1, 2026, 12:06 a.m. |
| PD | Predicate disambiguation | batch_69cc5c2aec04819093c932fe51c0f08d |
completed | March 31, 2026, 11:43 p.m. |
| PDg | Predicate description generation | batch_69cc5d6e54808190af4156edd4c8ffbc |
completed | March 31, 2026, 11:49 p.m. |
Created at: March 30, 2026, 6:53 p.m.