Triple
T14612934
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Batroun District |
E343004
|
entity |
| Predicate | containsVillage |
P4011
|
FINISHED |
| Object | Bchaaleh |
E1111248
|
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: Bchaaleh | Statement: [Batroun District, containsVillage, Bchaaleh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bchaaleh Context triple: [Batroun District, containsVillage, Bchaaleh]
-
A.
Bchaaleh
chosen
Bchaaleh is a historic mountain village in northern Lebanon known for its ancient olive trees and traditional Lebanese architecture.
-
B.
Barachatti
Barachatti is a town and administrative block in the Gaya district of Bihar, India, known for its rural economy and local markets.
-
C.
Baabda
Baabda is a town in Lebanon that serves as the administrative center of the Mount Lebanon Governorate and hosts the Lebanese presidential palace.
-
D.
Chakia
Chakia is a town in the East Champaran district of the Indian state of Bihar, known primarily as a local administrative and market center for the surrounding rural region.
-
E.
Bicholim
Bicholim is a town in the Indian state of Goa known for its mining industry and scenic rural landscapes.
- 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.