Triple
T19712224
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | al-Hasakah Governorate |
E473377
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Qamishli |
—
|
NE NERFINISHED |
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: Qamishli | Statement: [al-Hasakah Governorate, containsCity, Qamishli]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Qamishli Context triple: [al-Hasakah Governorate, containsCity, Qamishli]
-
A.
Qamishli
chosen
Qamishli is a predominantly Kurdish city in northeastern Syria that serves as a key cultural and political hub for Kurmanji-speaking Kurds.
-
B.
Qarshi
Qarshi is a historic city in southern Uzbekistan known as a regional economic and cultural center.
-
C.
Khachmaz
Khachmaz is a town in northeastern Azerbaijan known as a regional center near the Caspian Sea and the Russian border.
-
D.
Shamkir
Shamkir is a town in western Azerbaijan known as a regional center with historical significance and a growing agricultural and industrial economy.
-
E.
Jalal-Abad
Jalal-Abad is a city in western Kyrgyzstan known as an administrative, cultural, and economic center near the foothills of the Fergana Range.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e516dd048190a0b6c93ea3e71f58 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e64408bde08190aa3bef8516491e03 |
completed | April 20, 2026, 3:19 p.m. |
Created at: April 10, 2026, 1:46 p.m.