Triple
T13293004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lebap Region |
E316604
|
entity |
| Predicate | borderingEntity |
P224
|
FINISHED |
| Object | Ahal Region |
E309109
|
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: Ahal Region | Statement: [Lebap Region, borderingEntity, Ahal Region]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ahal Region Context triple: [Lebap Region, borderingEntity, Ahal Region]
-
A.
Ahal Region
chosen
Ahal Region is an administrative province in south-central Turkmenistan that surrounds the capital city, Ashgabat.
-
B.
Razih region
The Razih region is a mountainous area in northwestern Yemen known for its distinct local culture and dialects, including Razihi Arabic.
-
C.
Bahdinan region
The Bahdinan region is a historical and cultural area in northern Iraqi Kurdistan traditionally associated with the Behdini-speaking Kurds.
-
D.
Lebap Region
Lebap Region is an administrative province in eastern Turkmenistan known for its major city Turkmenabat and its location along the Amu Darya River.
-
E.
Nimruz Province
Nimruz Province is a sparsely populated, largely desert region in southwestern Afghanistan bordering Iran and Pakistan, known for its strategic location along key trade and smuggling routes.
- 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_69d806b349908190a9a61dd9323bf153 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99078bcf0819083195fb556bcacb2 |
completed | April 11, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f716d8ee2081908428339216c43b47 |
completed | May 3, 2026, 9:35 a.m. |
Created at: April 9, 2026, 9:27 p.m.