Triple
T722213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Viscount Abercorn |
E14641
|
entity |
| Predicate | hasEstate |
P8997
|
FINISHED |
| Object | Abercorn estates in Scotland |
—
|
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: Abercorn estates in Scotland | Statement: [Viscount Abercorn, hasEstate, Abercorn estates in Scotland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEstate Context triple: [Viscount Abercorn, hasEstate, Abercorn estates in Scotland]
-
A.
hadEstate
chosen
Indicates that an entity possessed or owned a particular estate or landed property.
-
B.
hasHouse
Indicates that one entity possesses, owns, or is provided with a house in relation to another entity.
-
C.
estate
Indicates a legal or ownership relationship in which a person or entity holds rights, interests, or control over property or assets.
-
D.
nobleEstate
Indicates that an entity is a noble’s estate or property associated with nobility.
-
E.
occupiesFormerEstateOf
Indicates that one entity currently resides in, uses, or controls a property that was previously the estate 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_69a4934c753c81909b309027e48b9b3a |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a591124c8190842e7ef18b064198 |
completed | March 1, 2026, 8:46 p.m. |
| PD | Predicate disambiguation | batch_69a4a4f513608190b716b939d574c292 |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:37 p.m.