Triple
T17702209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Royan |
E441334
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object | Royan |
—
|
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: Royan | Statement: [Battle of Royan, location, Royan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Royan Context triple: [Battle of Royan, location, 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.
Neyshabur
Neyshabur is a historic city in northeastern Iran renowned for its cultural heritage, turquoise mines, and as the resting place of poet and polymath Omar Khayyam.
-
D.
Nurabad
Nurabad is a city in western Iran that serves as a local urban center within Lorestan Province.
-
E.
Rudbar
Rudbar is a city in northern Iran known for its olive production and location within the mountainous Gilan Province.
- 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_69d8b9ea20b48190ace88bb46b01e6a9 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4715c3980819094b080a871df1100 |
completed | April 19, 2026, 6:08 a.m. |
Created at: April 10, 2026, 10:05 a.m.