Triple
T19976289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barony of Arundel |
E493697
|
entity |
| Predicate | typeOfLandholding |
P34249
|
FINISHED |
| Object | honour |
—
|
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: honour | Statement: [Barony of Arundel, typeOfLandholding, honour]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfLandholding Context triple: [Barony of Arundel, typeOfLandholding, honour]
-
A.
landTenure
chosen
Indicates the type, conditions, or rights under which land is held, used, or owned by an entity.
-
B.
hasLandholdingsIn
Indicates that an entity owns or controls land or property located within a specified geographic area.
-
C.
ownedLandBy
Indicates that one entity possesses legal or recognized ownership rights over a piece or area of land associated with another entity.
-
D.
hasAgriculturalType
Indicates that an entity is associated with or classified by a specific type or category of agriculture.
-
E.
landUsedFor
Indicates that a particular area of land is utilized or designated for a specific purpose or activity.
- 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_69da626a67648190af9653832a3aeced |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65d0f4fb48190ad63afeff3513523 |
completed | April 20, 2026, 5:06 p.m. |
| PD | Predicate disambiguation | batch_69e537fae79c81909eae39500766d0b6 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 11, 2026, 3:26 p.m.