Triple
T22401098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chiguata District |
E553760
|
entity |
| Predicate | seat |
P75
|
FINISHED |
| Object | Chiguata |
—
|
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: Chiguata | Statement: [Chiguata District, seat, Chiguata]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chiguata Context triple: [Chiguata District, seat, Chiguata]
-
A.
Chiguata
chosen
Chiguata is a town in southern Peru that serves as the administrative center of the Chiguata District in the Arequipa region.
-
B.
Chisamba
Chisamba is a town in Zambia known for its agricultural activities and location along the Great North Road between Lusaka and Kabwe.
-
C.
Changamire
Changamire was the royal title borne by the supreme rulers of the Rozvi Empire in what is now Zimbabwe.
-
D.
Chang'ombe
Chang'ombe is a neighborhood in Dar es Salaam, Tanzania, known for its residential areas and educational institutions, including the University of Dar es Salaam’s constituent colleges.
-
E.
Chipinga
Chipinga is the former name of Chipinge, a town in southeastern Zimbabwe known for its agriculture and proximity to the Mozambique border.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e4da7048190b4387d422a9a0de5 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f158b39c908190a735aa860d733869 |
completed | April 29, 2026, 1:02 a.m. |
Created at: April 16, 2026, 8:46 p.m.