Triple
T16037112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Puruchuco |
E388996
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Ate District |
E288108
|
NE 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: Ate District | Statement: [Puruchuco, locatedIn, Ate District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ate District Context triple: [Puruchuco, locatedIn, Ate District]
-
A.
Ate District
chosen
Ate District is a populous urban district in eastern Lima, Peru, known for its mix of industrial zones, residential areas, and major transportation routes connecting the capital with the central highlands.
-
B.
Pakyong district
Pakyong district is an administrative district in the Indian state of Sikkim, known for housing the Pakyong Airport and its hilly, rural landscape.
-
C.
Kaliro District
Kaliro District is an administrative district in eastern Uganda known for its predominantly rural communities and agriculture-based economy.
-
D.
Nakapiripirit District
Nakapiripirit District is an administrative district in northeastern Uganda, known for its predominantly Karamojong population and semi-arid, pastoralist landscape.
-
E.
Longmatan District
Longmatan District is an urban administrative district and the central area of Luzhou City in Sichuan Province, China.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d86dada3808190825d5f80d72fbe88 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1833da68881908710fb2c28e8c6d0 |
completed | April 17, 2026, 12:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffdbd3a1248190ad055892cebde5f0 |
completed | May 10, 2026, 1:13 a.m. |
Created at: April 10, 2026, 4:56 a.m.