Triple
T4684964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jabala |
E103897
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Latakia |
E62578
|
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: Latakia | Statement: [Jabala, near, Latakia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Latakia Context triple: [Jabala, near, Latakia]
-
A.
Latakia
chosen
Latakia is a major port city on Syria's Mediterranean coast and an important economic and cultural center for the country.
-
B.
Tartus
Tartus is a major Syrian port city on the Mediterranean coast that hosts Russia’s only naval facility outside the former Soviet Union.
-
C.
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.
-
D.
Homs
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.
-
E.
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.
- 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_69bd43debbf08190b4bc372e286ec234 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd63829b048190a2044de900ef7a69 |
completed | March 20, 2026, 3:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be1056abf081908aadaea8d9f22860 |
completed | March 21, 2026, 3:28 a.m. |
Created at: March 20, 2026, 1:16 p.m.