Triple
T5266332
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Kobani |
E118945
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object | Kobanî |
E217248
|
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: Kobanî | Statement: [Battle of Kobani, location, Kobanî]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kobanî Context triple: [Battle of Kobani, location, Kobanî]
-
A.
Kobanî
chosen
Kobanî is a predominantly Kurdish city in northern Syria known for its strategic location near the Turkish border and its symbolic role in resisting ISIS during the Syrian civil war.
-
B.
Khobi
Khobi is a small town in the Samegrelo-Zemo Svaneti region of western Georgia, serving as a local administrative and cultural center.
-
C.
Kaben
Kaben is one of the islands that make up Maloelap Atoll in the Marshall Islands, a Pacific island nation.
-
D.
Wukari
Wukari is a historic town in present-day Taraba State, Nigeria, long associated with the Jukun people and the traditional Wukari Federation.
-
E.
Kobuleti
Kobuleti is a Georgian Black Sea resort town known for its long pebble beaches and role as a popular holiday destination in the autonomous region of Adjara.
- 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_69bd446a42c88190b7ecbef006561d55 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7bfabf9c819098f961243c31e508 |
completed | March 20, 2026, 4:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69befe8e5c948190a807a99bd35f710d |
completed | March 21, 2026, 8:24 p.m. |
Created at: March 20, 2026, 1:51 p.m.