Triple
T14612942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Batroun District |
E343004
|
entity |
| Predicate | containsVillage |
P4011
|
FINISHED |
| Object | Kfarhay |
E1111251
|
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: Kfarhay | Statement: [Batroun District, containsVillage, Kfarhay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kfarhay Context triple: [Batroun District, containsVillage, Kfarhay]
-
A.
Kfarhay
chosen
Kfarhay is a small village located in the Batroun District of northern Lebanon, known for its rural character and traditional Lebanese landscape.
-
B.
Kfarhazir
Kfarhazir is a village in northern Lebanon known for its scenic hilltop location and traditional Lebanese rural character.
-
C.
Kfarhata
Kfarhata is a village located in the Koura District of northern Lebanon, known for its agricultural character and traditional rural setting.
-
D.
Kfar Zeitim
Kfar Zeitim is a small agricultural village in northern Israel, located in the Galilee region near Tiberias.
-
E.
Kfar Sir
Kfar Sir is a village located in southern Lebanon within the Nabatieh Governorate.
- 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_69d822dec68081908c2553145c4051dc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb450e6588190a94488d8e71888c8 |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5cbcf08819084313bf28f0bb3e1 |
completed | May 8, 2026, 12:23 p.m. |
Created at: April 10, 2026, 1:25 a.m.