Triple
T10900565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charente-Maritime |
E257427
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Royan |
E255664
|
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: Royan | Statement: [Charente-Maritime, hasCity, Royan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Royan Context triple: [Charente-Maritime, hasCity, Royan]
-
A.
Royan
chosen
Royan is a seaside resort town on France’s Atlantic coast, known for its beaches and post-war modernist architecture.
-
B.
Shahrud
Shahrud is a major city in northeastern Iran known as an important regional hub for transportation, agriculture, and access to nearby natural attractions such as the Alborz Mountains and desert landscapes.
-
C.
Nasirshahr
Nasirshahr is a city in Robat Karim County within Tehran Province, Iran, functioning as a local urban center for the surrounding region.
-
D.
Ardakan
Ardakan is a city and electoral district in Iran’s Yazd Province, known as the political base and hometown of former president Mohammad Khatami.
-
E.
Marivan
Marivan is a Kurdish-populated city in western Iran near the Iraqi border, known for its scenic Zarivar Lake and role as a regional commercial and cultural 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_69d6aa8550c8819095508a2ed9acf3db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d761a2f02881908b70be6499dd8d98 |
completed | April 9, 2026, 8:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e155306e9081909433522eeecf2b7d |
completed | April 16, 2026, 9:31 p.m. |
Created at: April 8, 2026, 9:22 p.m.