Triple
T16632873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Syunik Province |
E404118
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object |
Dastakert
Dastakert is a small town in southern Armenia known for its mountainous setting and former mining industry.
|
E1224897
|
NE FINISHED |
How this triple was built (4 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: Dastakert | Statement: [Syunik Province, containsTown, Dastakert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dastakert Context triple: [Syunik Province, containsTown, Dastakert]
-
A.
Karakol
Karakol is a town in eastern Kyrgyzstan near Lake Issyk-Kul, known as a gateway to the Tien Shan Mountains and a center for trekking and skiing.
-
B.
Bazar-Korgon
Bazar-Korgon is a town in southwestern Kyrgyzstan, known as a local administrative and market center in the Jalal-Abad Region.
-
C.
Chaghasarai
Chaghasarai is the former name of Asadabad, a city in western Iran that serves as the capital of Hamadan Province’s Asadabad County.
-
D.
Taza Khurmatu
Taza Khurmatu is a town in northern Iraq with a significant Turkmen population, situated within the disputed cultural and political region known as Turkmeneli.
-
E.
Kokand
Kokand is a historic city in the Fergana Valley of present-day Uzbekistan that served as a major political, cultural, and trading center in Central Asia.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Dastakert Triple: [Syunik Province, containsTown, Dastakert]
Generated description
Dastakert is a small town in southern Armenia known for its mountainous setting and former mining industry.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dastakert Target entity description: Dastakert is a small town in southern Armenia known for its mountainous setting and former mining industry.
-
A.
Karakol
Karakol is a town in eastern Kyrgyzstan near Lake Issyk-Kul, known as a gateway to the Tien Shan Mountains and a center for trekking and skiing.
-
B.
Bazar-Korgon
Bazar-Korgon is a town in southwestern Kyrgyzstan, known as a local administrative and market center in the Jalal-Abad Region.
-
C.
Chaghasarai
Chaghasarai is the former name of Asadabad, a city in western Iran that serves as the capital of Hamadan Province’s Asadabad County.
-
D.
Taza Khurmatu
Taza Khurmatu is a town in northern Iraq with a significant Turkmen population, situated within the disputed cultural and political region known as Turkmeneli.
-
E.
Kokand
Kokand is a historic city in the Fergana Valley of present-day Uzbekistan that served as a major political, cultural, and trading center in Central Asia.
- F. None of above. chosen
Provenance (5 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_69d883897eb481909eaaa088ba9918d9 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e378e7d4a48190a9b4a14ecbb2a14b |
completed | April 18, 2026, 12:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a007dbe82b4819093b954567790bef7 |
completed | May 10, 2026, 12:44 p.m. |
| NEDg | Description generation | batch_6a007e747eac81908b0b5a2072a177dd |
completed | May 10, 2026, 12:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a007f75e7e48190ac5cf912cca60d9c |
completed | May 10, 2026, 12:52 p.m. |
Created at: April 10, 2026, 5:17 a.m.