Triple
T36401502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arusha Regional Commissioner’s Office |
E896642
|
entity |
| Predicate | officeHoldersRole |
P131089
|
FINISHED |
| Object | Regional Commissioner of Arusha |
—
|
NE NERFINISHED |
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: Regional Commissioner of Arusha | Statement: [Arusha Regional Commissioner’s Office, officeHoldersRole, Regional Commissioner of Arusha]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeHoldersRole Context triple: [Arusha Regional Commissioner’s Office, officeHoldersRole, Regional Commissioner of Arusha]
-
A.
officeHoldersHaveRole
chosen
Indicates that individuals or entities holding an office possess or are assigned a specific role associated with that office.
-
B.
officeHolderRoleFor
Indicates that a specific role or position is held by an office holder within an organization or governing body.
-
C.
officeHolderRoleIn
Indicates that an entity holds or has held a specific role or position within a particular office or organizational context.
-
D.
officeHolderOf
Indicates that a person holds or has held an official position or role within a specified organization, institution, or office.
-
E.
officeHolderOccupation
Indicates that the occupation describes the role or job held by an office holder.
- 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_69f76e53b81081908d3b81860593f38a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a001adc8c108190ab3a43f6415e2be3 |
completed | May 10, 2026, 5:42 a.m. |
| PD | Predicate disambiguation | batch_6a001a290330819097c2c3123f9014b4 |
completed | May 10, 2026, 5:39 a.m. |
Created at: May 3, 2026, 4:10 p.m.