Triple
T32808579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Earls of Derwentwater |
E839082
|
entity |
| Predicate | titleNumberOfHolders |
P36886
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [Earls of Derwentwater, titleNumberOfHolders, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleNumberOfHolders Context triple: [Earls of Derwentwater, titleNumberOfHolders, 3]
-
A.
totalNumberOfHolders
chosen
Indicates the total count of distinct entities that hold or possess a given asset, item, or resource.
-
B.
typicalNumberOfHolders
Indicates the usual or expected number of entities that hold or possess a given item, role, or resource.
-
C.
titleNumberOfFirstHolder
Indicates the ordinal number assigned to the first person who held a particular title.
-
D.
numberOfHoldings
Indicates the quantity of distinct holdings or assets associated with an entity.
-
E.
maximumNumberOfHolders
Indicates the greatest allowable or observed count of entities that can simultaneously hold or possess a given item, role, or resource.
- 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_69f3493d35208190b4351b4e85f2fa16 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fed6da0390819096b88ef4714b144e |
completed | May 9, 2026, 6:40 a.m. |
| PD | Predicate disambiguation | batch_69fed53517d081909966f31707625f1a |
completed | May 9, 2026, 6:33 a.m. |
Created at: May 1, 2026, 1:15 a.m.