Triple
T13636043
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zgharta |
E325850
|
entity |
| Predicate | hasLocalName |
P6353
|
FINISHED |
| Object | زغرتا |
E325850
|
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: زغرتا | Statement: [Zgharta, hasLocalName, زغرتا]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: زغرتا Context triple: [Zgharta, hasLocalName, زغرتا]
-
A.
Zgharta
chosen
Zgharta is a town in northern Lebanon known as a predominantly Maronite Christian community and a local center for the surrounding Zgharta District.
-
B.
Zababdeh
Zababdeh is a predominantly Christian Palestinian town in the northern West Bank known as a local religious and educational center.
-
C.
Zigra
Zigra is a monstrous alien shark-like kaiju from the Gamera film series, known for invading Earth and battling the giant turtle guardian.
-
D.
Ayn al-Jarr
Ayn al-Jarr is the ancient spring whose name is believed to have given rise to the name of the Lebanese town of Anjar.
-
E.
Zahleh
Zahleh is a major city in Lebanon’s Beqaa Valley, known for its predominantly Christian population, wineries, and role as a regional cultural and economic center.
- 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_69d8076beddc8190a53156f5bea77f5e |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc5a616dc81908b8c1213e1d4beed |
completed | April 12, 2026, 4:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f78af297008190b12256c936714213 |
completed | May 3, 2026, 5:50 p.m. |
Created at: April 9, 2026, 9:51 p.m.