Triple
T21557608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Koura |
E531933
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object | Kousba |
—
|
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: Kousba | Statement: [Koura, hasTown, Kousba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kousba Context triple: [Koura, hasTown, Kousba]
-
A.
Kousba
chosen
Kousba is a town in northern Lebanon located in the Koura District, known for its olive groves and traditional Lebanese rural character.
-
B.
Koshari
Koshari is a popular Egyptian street food dish made from a hearty mix of rice, lentils, pasta, and chickpeas topped with spiced tomato sauce and crispy fried onions.
-
C.
Meat Square
Meat Square is a public square in Istanbul, Turkey, historically associated with the city’s meat markets and trade.
-
D.
Chum Kebab
Chum Kebab is a fictional fast-food menu item made from the unappetizing "chum" served at the Chum Bucket restaurant in the animated series SpongeBob SquarePants.
-
E.
Meehni
Meehni is one of the three iconic sandstone rock pillars known as the Three Sisters in the Blue Mountains of New South Wales, Australia.
- 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_69e0c460232c81908de2c3819d17c00e |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eed2e14af88190bc70b4d0f3453aac |
completed | April 27, 2026, 3:07 a.m. |
Created at: April 16, 2026, 6:29 p.m.