Triple
T7264661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | College of God's Gift |
E159740
|
entity |
| Predicate | endowmentIncludes |
P1393
|
FINISHED |
| Object | manor of Dulwich |
—
|
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: manor of Dulwich | Statement: [College of God's Gift, endowmentIncludes, manor of Dulwich]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endowmentIncludes Context triple: [College of God's Gift, endowmentIncludes, manor of Dulwich]
-
A.
endowment
Indicates that a resource, asset, or benefit is provided or allocated to an entity, typically as a lasting or dedicated funding source.
-
B.
endowmentCurrency
Indicates the type of currency in which an endowment is denominated or valued.
-
C.
hasEndowmentType
Indicates that an entity is associated with a particular category or type of endowment.
-
D.
includes
chosen
Indicates that one entity contains, encompasses, or has another entity as a part, member, or subset.
-
E.
hasOriginalEndowmentPurpose
Indicates that an entity’s original endowment is intended or designated to serve a specific purpose or function.
- 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_69c68838f9948190875fd60b2351230c |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eb088dac8190b353f6ea3d686025 |
completed | March 27, 2026, 8:39 p.m. |
| PD | Predicate disambiguation | batch_69c6e76876608190ac4652bc7153302e |
completed | March 27, 2026, 8:24 p.m. |
Created at: March 27, 2026, 2:57 p.m.