Triple
T6099562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | central Iraq |
E135959
|
entity |
| Predicate | includesCity |
P3207
|
FINISHED |
| Object | Kut |
E68772
|
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: Kut | Statement: [central Iraq, includesCity, Kut]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kut Context triple: [central Iraq, includesCity, Kut]
-
A.
Kut
chosen
Kut is a city in eastern Iraq situated on the banks of the Tigris River, known historically as a strategic location and the site of significant World War I battles.
-
B.
Kutiyana
Kutiyana is a town in the Porbandar district of Gujarat, India, known historically as a local trading and administrative center.
-
C.
Kuta
Kuta is a popular beach resort town in southern Bali, Indonesia, known for its surfing waves, vibrant nightlife, and dense concentration of hotels, shops, and restaurants.
-
D.
Kutelo
Kutelo is one of the highest and most prominent peaks in Bulgaria’s Pirin mountain range, known for its sharp ridges and alpine terrain.
-
E.
Kutchan
Kutchan is a town in Hokkaido, Japan, known as a major access point to the Niseko ski resort area and for its heavy snowfall and potato farming.
- 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_69c0087cd3c48190b459848c72d84eb1 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05b3970808190ba90f5e4235db9f2 |
completed | March 22, 2026, 9:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c125475548819086b733a80056eba5 |
completed | March 23, 2026, 11:34 a.m. |
Created at: March 22, 2026, 4:13 p.m.