Triple
T18710438
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marjane Satrapi |
E457492
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Rasht, Iran |
—
|
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: Rasht, Iran | Statement: [Marjane Satrapi, placeOfBirth, Rasht, Iran]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rasht, Iran Context triple: [Marjane Satrapi, placeOfBirth, Rasht, Iran]
-
A.
Rasht
chosen
Rasht is a major city in northern Iran near the Caspian Sea, known as the capital of Gilan Province and a cultural and economic center of the region.
-
B.
Babolsar
Babolsar is a coastal city on the Caspian Sea in northern Iran, known as a regional tourist destination with beaches, a riverfront, and a popular seaside promenade.
-
C.
Iranshahr
Iranshahr is a city in southeastern Iran known as an administrative and cultural center within the Sistan and Baluchestan region.
-
D.
Birjand
Birjand is a city in eastern Iran that serves as the capital of South Khorasan Province and is known for its historical forts and saffron production.
-
E.
Qazvin, Iran
Qazvin is a historic city in northwestern Iran known for its rich Persian architectural heritage, including numerous mosques, caravanserais, and traditional bazaars.
- 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_69d8d392aad081909fe31aa03e6e97d1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5671b34508190b6180f7d6ad50a58 |
completed | April 19, 2026, 11:36 p.m. |
Created at: April 10, 2026, 11:50 a.m.