Triple
T38048729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gad’s Hill School |
E949693
|
entity |
| Predicate | buildingPreviouslyOwnedBy |
P59297
|
FINISHED |
| Object | Charles Dickens |
—
|
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: Charles Dickens | Statement: [Gad’s Hill School, buildingPreviouslyOwnedBy, Charles Dickens]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: buildingPreviouslyOwnedBy Context triple: [Gad’s Hill School, buildingPreviouslyOwnedBy, Charles Dickens]
-
A.
previouslyPossessedBy
chosen
Indicates that an entity was owned or possessed by another entity at some time in the past, but is not necessarily possessed by that entity now.
-
B.
occupiesFormerBuilding
Indicates that one entity is currently using or located in a building that was previously used or occupied by another entity.
-
C.
hasFormerBuilding
Indicates that an entity previously occupied or used a different building, which is identified as its former building.
-
D.
ownerBefore1987
Indicates that an entity was the owner of another entity at some time prior to the year 1987.
-
E.
previousBuildingUse
Indicates that a building previously served a specified use or function before its current one.
- 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_69f76f000cf081908c11fb5443b392e6 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fc44c7e73c819082d4fc1900fb9632 |
completed | May 7, 2026, 7:52 a.m. |
| PD | Predicate disambiguation | batch_69fbc8efffbc8190a139798ad1880526 |
completed | May 6, 2026, 11:04 p.m. |
Created at: May 3, 2026, 4:20 p.m.