Triple
T10832801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royan |
E255664
|
entity |
| Predicate | hasTouristAttraction |
P530
|
FINISHED |
| Object | Royan marina |
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 marina | Statement: [Royan, hasTouristAttraction, Royan marina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Royan marina Context triple: [Royan, hasTouristAttraction, Royan marina]
-
A.
Royan
chosen
Royan is a seaside resort town on France’s Atlantic coast, known for its beaches and post-war modernist architecture.
-
B.
Mozzafarieh
Mozzafarieh is a notable section of the Tabriz Historic Bazaar Complex, traditionally associated with specialized trade and craftsmanship within the bazaar.
-
C.
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.
-
D.
Marvdasht
Marvdasht is a prominent city in Iran’s Fars Province, known for its proximity to the ancient ruins of Persepolis and its role as an agricultural and cultural center in the region.
-
E.
Bandar-e Emam Khomeyni
Bandar-e Emam Khomeyni is a major port city in southwestern Iran on the Persian Gulf, serving as a key maritime and industrial hub.
- 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_69d6aa81a5d08190aa86689061d1ddd2 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7442439dc8190af59f9c8d0637c01 |
completed | April 9, 2026, 6:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69deb11a264c8190829ff89f0b13d063 |
completed | April 14, 2026, 9:26 p.m. |
Created at: April 8, 2026, 9:19 p.m.