Triple
T17066071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nalut |
E414091
|
entity |
| Predicate | locatedInDistrict |
P40
|
FINISHED |
| Object | Nalut District |
E197769
|
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: Nalut District | Statement: [Nalut, locatedInDistrict, Nalut District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nalut District Context triple: [Nalut, locatedInDistrict, Nalut District]
-
A.
Nalut District
chosen
Nalut District is an administrative region in western Libya that includes the historic oasis town of Ghadamès near the borders with Tunisia and Algeria.
-
B.
Amudat District
Amudat District is a rural administrative district in northeastern Uganda, located in the Karamoja sub-region and predominantly inhabited by the Pokot people.
-
C.
Karukh District
Karukh District is an administrative district in western Afghanistan known for its rural communities and agricultural economy within Herat Province.
-
D.
Shabat District
Shabat District is an administrative district located within Daşoguz Region in northern Turkmenistan.
-
E.
Sidon District
Sidon District is an administrative district in southern Lebanon that encompasses the coastal city of Sidon and its surrounding areas.
- 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_69d886cde3d481908d4d01ba88ba7eb7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3db8171348190ab68d2e4f05f7120 |
completed | April 18, 2026, 7:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0123509e1481908cfc304b02fe8632 |
completed | May 11, 2026, 12:31 a.m. |
Created at: April 10, 2026, 5:34 a.m.