Triple
T10987721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ingiloys |
E259672
|
entity |
| Predicate | traditionalRegion |
P1968
|
FINISHED |
| Object | Balakan District |
E151807
|
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: Balakan District | Statement: [Ingiloys, traditionalRegion, Balakan District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Balakan District Context triple: [Ingiloys, traditionalRegion, Balakan District]
-
A.
Balakan District
chosen
Balakan District is an administrative region in northwestern Azerbaijan known for its mountainous landscapes and location along the border with Georgia’s Kakheti region.
-
B.
Ismayilli District
Ismayilli District is an administrative region in northern Azerbaijan known for its mountainous landscapes, forests, and historical villages.
-
C.
Murzuq District
Murzuq District is an administrative region in southwestern Libya known for its vast Sahara Desert landscapes and sparse population.
-
D.
Karabağlar district
Karabağlar district is a densely populated urban district of İzmir, Turkey, known primarily as a residential and commercial area within the city’s metropolitan region.
-
E.
Gulran District
Gulran District is an administrative district located in the northwestern Afghan province of Herat, near the border with Iran.
- 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_69d6aa8a6a548190a750f944ccdc8064 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d787b3c8388190be77e95d56979a7f |
completed | April 9, 2026, 11:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e374639f1481908ea372b81a834f6f |
completed | April 18, 2026, 12:09 p.m. |
Created at: April 8, 2026, 9:24 p.m.