Triple
T3269940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andalgalá |
E68619
|
entity |
| Predicate | hasDepartmentSeatRole |
P47000
|
FINISHED |
| Object | head town of Andalgalá Department |
—
|
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: head town of Andalgalá Department | Statement: [Andalgalá, hasDepartmentSeatRole, head town of Andalgalá Department]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDepartmentSeatRole Context triple: [Andalgalá, hasDepartmentSeatRole, head town of Andalgalá Department]
-
A.
hasSeatAt
Indicates that an entity occupies or holds a place, position, or membership within a specific group, body, or location.
-
B.
hasOrganizationalRole
Indicates that an entity holds a specific role, position, or function within an organization.
-
C.
hasMinisterialSeat
Indicates that a governmental or administrative body holds its official ministerial seat or headquarters at a particular location.
-
D.
hasPositionInOrganization
Indicates that an entity holds a specific role, job, or position within a particular organization.
-
E.
seatOfDepartmentalCouncil
Indicates the location where a departmental council holds its official seat or headquarters.
- F. None of above. chosen
Provenance (4 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_69ad859b54f881909bf530d549caf2fd |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adaff349148190beae8c0994b7ad83 |
completed | March 8, 2026, 5:20 p.m. |
| PD | Predicate disambiguation | batch_69ada41d7eac8190ada4bf5f793d5c49 |
completed | March 8, 2026, 4:30 p.m. |
| PDg | Predicate description generation | batch_69ada525bb2c8190b773efe6d696b6ab |
completed | March 8, 2026, 4:34 p.m. |
Created at: March 8, 2026, 3:09 p.m.