Triple
T3710838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marshal of the Lesser Poland Voivodeship |
E81405
|
entity |
| Predicate | hasOfficeScope |
P7602
|
FINISHED |
| Object | territorial self-government |
—
|
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: territorial self-government | Statement: [Marshal of the Lesser Poland Voivodeship, hasOfficeScope, territorial self-government]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOfficeScope Context triple: [Marshal of the Lesser Poland Voivodeship, hasOfficeScope, territorial self-government]
-
A.
officeScope
chosen
Indicates that a relationship, authority, or action is limited to, defined within, or applicable only in the context of a particular office or official position.
-
B.
includedOffice
Indicates that one office is contained within, or forms part of, another office or organizational unit.
-
C.
hasOfficeCluster
Indicates that an entity is associated with or belongs to a specific group or cluster of office locations.
-
D.
hasRelativeInOffice
Indicates that one entity has a family member who holds or held a particular office or official position.
-
E.
relatesToOffice
Indicates that one entity has a connection, association, or relevance to an office, its functions, or its environment.
- 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_69ad8b1a81588190b3f27a5483bb610e |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adc584b86c8190ba1a1073da440b07 |
completed | March 8, 2026, 6:52 p.m. |
| PD | Predicate disambiguation | batch_69adc041a8608190a2d543dab6d2ef6c |
completed | March 8, 2026, 6:30 p.m. |
Created at: March 8, 2026, 3:33 p.m.