Triple
T9169047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vice Presidents of the Government of Spain |
E220037
|
entity |
| Predicate | minimumNumberOfHolders |
P9344
|
FINISHED |
| Object | 0 |
—
|
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: 0 | Statement: [Vice Presidents of the Government of Spain, minimumNumberOfHolders, 0]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: minimumNumberOfHolders Context triple: [Vice Presidents of the Government of Spain, minimumNumberOfHolders, 0]
-
A.
typicalNumberOfHolders
Indicates the usual or expected number of entities that hold or possess a given item, role, or resource.
-
B.
totalNumberOfHolders
Indicates the total count of distinct entities that hold or possess a given asset, item, or resource.
-
C.
numberOfHoldings
Indicates the quantity of distinct holdings or assets associated with an entity.
-
D.
minimumNumberOfMembers
chosen
Indicates the smallest allowable or required number of members that must be present or involved in a given context or group.
-
E.
eligibleHolders
Indicates which entities are permitted or qualified to hold or possess a given item, right, or role.
- 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_69ca83e467108190abcae6a33b3d4dad |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccaae0f3148190b111b22902cdb86c |
completed | April 1, 2026, 5:19 a.m. |
| PD | Predicate disambiguation | batch_69cc660761d88190ab6134b43b376964 |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:22 p.m.