Triple
T17325668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chuy Region |
E420680
|
entity |
| Predicate | hasBorderWith |
P224
|
FINISHED |
| Object | Talas Region |
E915676
|
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: Talas Region | Statement: [Chuy Region, hasBorderWith, Talas Region]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Talas Region Context triple: [Chuy Region, hasBorderWith, Talas Region]
-
A.
Talas Region
chosen
Talas Region is an administrative region in northwestern Kyrgyzstan known for its mountainous landscapes, agriculture, and the historic Talas Valley.
-
B.
Bahdinan region
The Bahdinan region is a historical and cultural area in northern Iraqi Kurdistan traditionally associated with the Behdini-speaking Kurds.
-
C.
Saran region
The Saran region is a historical and administrative area in the Indian state of Bihar, known for its agrarian landscape and centered around the town of Chhapra.
-
D.
Karas Region
Karas Region is the southernmost administrative region of Namibia, known for its arid landscapes, desert scenery, and coastal towns along the Atlantic Ocean.
-
E.
Tashauz Region
Tashauz Region was the former name of the Daşoguz administrative region in northern Turkmenistan, known for its location in the historical Khorezm area near the Uzbek border.
- 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_69d889d3adc881909319f1edb8d2a956 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e439d24e548190a766dd246a4d63d4 |
completed | April 19, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a018c4c2dc08190b60982abc9ac7c9c |
completed | May 11, 2026, 7:59 a.m. |
Created at: April 10, 2026, 5:43 a.m.