Triple
T27990277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Warter, East Riding of Yorkshire |
E706850
|
entity |
| Predicate | hasFormerEstate |
P3526
|
FINISHED |
| Object |
Warter Priory estate
Warter Priory estate was a large historic country estate and former stately home in the village of Warter in the East Riding of Yorkshire, England.
|
E1795683
|
NE FINISHED |
How this triple was built (3 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: Warter Priory estate | Statement: [Warter, East Riding of Yorkshire, hasFormerEstate, Warter Priory estate]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Warter Priory estate Triple: [Warter, East Riding of Yorkshire, hasFormerEstate, Warter Priory estate]
Generated description
Warter Priory estate was a large historic country estate and former stately home in the village of Warter in the East Riding of Yorkshire, England.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFormerEstate Context triple: [Warter, East Riding of Yorkshire, hasFormerEstate, Warter Priory estate]
-
A.
hadEstate
Indicates that an entity possessed or owned a particular estate or landed property.
-
B.
hadEstates
Indicates that an entity possessed or owned one or more estates (properties or landholdings).
-
C.
occupiesFormerEstateOf
chosen
Indicates that one entity currently resides in, uses, or controls a property that was previously the estate of another entity.
-
D.
hasNearbyHistoricalEstate
Indicates that one entity is located close to another entity that is a recognized historical estate.
-
E.
hasAssociatedEstate
Indicates that one entity is linked to, or has responsibility for, a particular estate or property.
- F. None of above.
Provenance (6 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_69ef96b8b8d88190bad5e4ae966bf14e |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f73223675481908c1bc3208c0f5284 |
completed | May 3, 2026, 11:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a131182c814819090fafdeb803f3e08 |
completed | May 24, 2026, 2:56 p.m. |
| NEDg | Description generation | batch_6a13127b3a688190b36805e60f2db695 |
completed | May 24, 2026, 3 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a1313951d2c8190b144669bda181a69 |
completed | May 24, 2026, 3:04 p.m. |
| PD | Predicate disambiguation | batch_69f7317690108190b3aae2cd2e1d069e |
completed | May 3, 2026, 11:28 a.m. |
Created at: April 27, 2026, 7:49 p.m.