Triple
T11135433
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fars Province |
E263396
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Zarrin Dasht
Zarrin Dasht is a city in southern Iran known for its agricultural activities and location within Fars Province.
|
E907996
|
NE FINISHED |
How this triple was built (4 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: Zarrin Dasht | Statement: [Fars Province, containsCity, Zarrin Dasht]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zarrin Dasht Context triple: [Fars Province, containsCity, Zarrin Dasht]
-
A.
Qazvin plain
Qazvin plain is a fertile agricultural lowland in northwestern Iran known for its extensive farmlands and strategic location near the Alborz Mountains.
-
B.
Dasht-e Kavir
Dasht-e Kavir is Iran’s vast central salt desert, characterized by arid plains, salt flats, and extreme climatic conditions.
-
C.
Pishva
Pishva is a city in Tehran Province, Iran, known as an administrative and local commercial center for the surrounding region.
-
D.
Sar-e Pol
Sar-e Pol is a provincial capital city in northern Afghanistan known for its strategic location and role as an administrative and commercial center in the region.
-
E.
Damghan
Damghan is an ancient city in north-central Iran known for its historical monuments and archaeological sites, including one of the oldest mosques in the country.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Zarrin Dasht Triple: [Fars Province, containsCity, Zarrin Dasht]
Generated description
Zarrin Dasht is a city in southern Iran known for its agricultural activities and location within Fars Province.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zarrin Dasht Target entity description: Zarrin Dasht is a city in southern Iran known for its agricultural activities and location within Fars Province.
-
A.
Qazvin plain
Qazvin plain is a fertile agricultural lowland in northwestern Iran known for its extensive farmlands and strategic location near the Alborz Mountains.
-
B.
Dasht-e Kavir
Dasht-e Kavir is Iran’s vast central salt desert, characterized by arid plains, salt flats, and extreme climatic conditions.
-
C.
Pishva
Pishva is a city in Tehran Province, Iran, known as an administrative and local commercial center for the surrounding region.
-
D.
Sar-e Pol
Sar-e Pol is a provincial capital city in northern Afghanistan known for its strategic location and role as an administrative and commercial center in the region.
-
E.
Damghan
Damghan is an ancient city in north-central Iran known for its historical monuments and archaeological sites, including one of the oldest mosques in the country.
- F. None of above. chosen
Provenance (5 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_69d6aa9c0ba08190bbd19c217489b755 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e85daddc8190a1ae2a4a75cc8d50 |
completed | April 9, 2026, 5:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e441fa286881909a8279a8ea6944e7 |
completed | April 19, 2026, 2:46 a.m. |
| NEDg | Description generation | batch_69e44c09163481909d6a469b1e50b6ff |
completed | April 19, 2026, 3:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e4519f4d408190be9863c72006ecad |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 8, 2026, 9:28 p.m.