Triple
T21980099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Safita |
E542813
|
entity |
| Predicate | nearbyCity |
P350
|
FINISHED |
| Object | Homs |
—
|
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: Homs | Statement: [Safita, nearbyCity, Homs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Homs Context triple: [Safita, nearbyCity, Homs]
-
A.
Homs
chosen
Homs is one of Syria’s largest and oldest cities, historically a major commercial and industrial center located in the western part of the country.
-
B.
Homs Governorate
Homs Governorate is a large administrative region in central Syria, centered on the city of Homs and known for its strategic location and diverse landscapes.
-
C.
Raqqa
Raqqa is a city in northern Syria that became widely known as the de facto capital of the Islamic State (ISIS) during its control from 2014 to 2017.
-
D.
Aleppo
Aleppo is an ancient and historically significant city in northern Syria, renowned for its rich cultural heritage, medieval architecture, and role as a major trading hub along the Silk Road.
-
E.
Khan Shaykhun
Khan Shaykhun is a town in northwestern Syria that gained international attention during the Syrian civil war, particularly after a widely reported chemical attack in 2017.
- 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_69e0c48070988190909db97667b9a0ac |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1248cf0388190b557d065beb662b5 |
completed | April 28, 2026, 9:20 p.m. |
Created at: April 16, 2026, 8:04 p.m.