Triple
T12178117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baabda |
E290141
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Baabda District |
E595188
|
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: Baabda District | Statement: [Baabda, partOf, Baabda District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baabda District Context triple: [Baabda, partOf, Baabda District]
-
A.
Baabda District
chosen
Baabda District is an administrative district in the Mount Lebanon Governorate of Lebanon that includes key suburbs of Beirut and has historically been a significant political and military area.
-
B.
Miyan Nasheen District
Miyan Nasheen District is an administrative district located in the northern part of Kandahar Province in southern Afghanistan.
-
C.
Rusafa District
Rusafa District is a central administrative area of Baghdad, Iraq, known for encompassing key cultural and historical landmarks, including major monuments and public institutions.
-
D.
Khadir District
Khadir District is an administrative district located within Daykundi Province in central Afghanistan.
-
E.
Qabala District
Qabala District is an administrative region in northern Azerbaijan known for its mountainous landscapes, historical sites, and role as a popular tourist destination.
- 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_69d6ab4d6c00819095a9a7c35de83cfb |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915fa6ff08190a1ddb3606c229cad |
completed | April 10, 2026, 3:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6af3d7778819091ab96f5d218d2c7 |
completed | May 3, 2026, 2:13 a.m. |
Created at: April 8, 2026, 9:50 p.m.