Triple
T18006615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Governor’s House, Calton Hill |
E430764
|
entity |
| Predicate | functionFormer |
P5925
|
FINISHED |
| Object | residence of the governor of Calton Jail |
—
|
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: residence of the governor of Calton Jail | Statement: [Governor’s House, Calton Hill, functionFormer, residence of the governor of Calton Jail]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: functionFormer Context triple: [Governor’s House, Calton Hill, functionFormer, residence of the governor of Calton Jail]
-
A.
formerFunction
chosen
Indicates that an entity previously held a specific role, position, or function but no longer does so.
-
B.
formFunction
Indicates that one entity’s physical form, structure, or configuration determines or enables the function or role performed by another (or by itself).
-
C.
formerType
Indicates that one entity previously had a certain type, role, or classification but no longer does.
-
D.
formalFunction
Indicates that an entity serves an official or designated role or purpose within a formal structure, system, or context.
-
E.
functionInName
Indicates that the name of one entity includes or references the function or role of another entity.
- 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_69d8b904530081908bf341d842464856 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4b51c7da48190ab70775a672e2d5f |
completed | April 19, 2026, 10:57 a.m. |
| PD | Predicate disambiguation | batch_69e3f90039e4819080527f860dca042e |
completed | April 18, 2026, 9:34 p.m. |
Created at: April 10, 2026, 10:24 a.m.