Triple
T18758443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samosata |
E458708
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object | Samsat |
—
|
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: Samsat | Statement: [Samosata, alternativeName, Samsat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Samsat Context triple: [Samosata, alternativeName, Samsat]
-
A.
Samsat
chosen
Samsat is a small town and district in Turkey’s Adıyaman Province, located on the Euphrates River near the massive Atatürk Dam.
-
B.
Salik
Salik is Dubai’s electronic toll collection system used on major roads and bridges to manage traffic and generate road-use revenue.
-
C.
Setia
Setia is the ancient Latin town that later became known as Sezze, located in the Lazio region of central Italy.
-
D.
Sitra
Sitra is a small island in Bahrain known for its residential communities, industrial facilities, and role in the country’s oil and gas infrastructure.
-
E.
Citura
Citura is the public transport operator responsible for managing Reims’ urban transit network, including its tramway system, in northeastern France.
- 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_69d8d395dba0819087568404508590cb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e579f42d0881909bd9ca9c7916516a |
completed | April 20, 2026, 12:57 a.m. |
Created at: April 10, 2026, 11:52 a.m.