Triple
T34684975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | League of the Ten Jurisdictions |
E890718
|
entity |
| Predicate | hasNumberOfJurisdictions |
P47986
|
FINISHED |
| Object | 10 |
—
|
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: 10 | Statement: [League of the Ten Jurisdictions, hasNumberOfJurisdictions, 10]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberOfJurisdictions Context triple: [League of the Ten Jurisdictions, hasNumberOfJurisdictions, 10]
-
A.
numberOfJurisdictions
chosen
Indicates the count of distinct legal or administrative jurisdictions associated with or applicable to an entity or situation.
-
B.
hasMemberJurisdictions
Indicates that an administrative or organizational entity includes specific jurisdictions as its constituent members.
-
C.
hasNumberOfStatesAndDistricts
Indicates a relationship where an entity is associated with a specific count of its constituent states and districts.
-
D.
affectsJurisdictions
Indicates that something has an impact on, or brings about changes within, one or more legal or administrative jurisdictions.
-
E.
haveTerritorialJurisdiction
Indicates that one entity possesses official legal authority or control over activities and matters within a specified geographic area.
- 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_69f349dabc008190a18999c26682ed47 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fec00f27988190955de6b6348a4d97 |
completed | May 9, 2026, 5:03 a.m. |
| PD | Predicate disambiguation | batch_69febd52037c8190b475dbd50fdbc13e |
completed | May 9, 2026, 4:51 a.m. |
Created at: May 1, 2026, 2:05 a.m.