Triple
T9542382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teke |
E230188
|
entity |
| Predicate | regionToday |
P15803
|
FINISHED |
| Object | Ahal Province |
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 Province | Statement: [Teke, regionToday, Ahal Province]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ahal Province Context triple: [Teke, regionToday, Ahal Province]
-
A.
Ahal Region
chosen
Ahal Region is an administrative province in south-central Turkmenistan that surrounds the capital city, Ashgabat.
-
B.
Taltal Province
Taltal Province is an administrative division in Chile’s Antofagasta Region, known for its coastal desert landscapes and mining activities.
-
C.
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.
-
D.
Farah Province
Farah Province is a largely rural and sparsely populated region in western Afghanistan known for its desert landscapes, agriculture, and strategic location near the Iranian border.
-
E.
Töv Province
Töv Province is a central Mongolian administrative region surrounding the national capital, Ulaanbaatar, and serving as a key political and transportation hub.
- 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_69ca847c70b8819088a0a0bad64a50d6 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd98e82bb08190aed3ed0627923d22 |
completed | April 1, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d19f60aa508190b3966f4b917c41b5 |
completed | April 4, 2026, 11:31 p.m. |
Created at: March 30, 2026, 8:01 p.m.