Triple
T11135432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fars Province |
E263396
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Sarvestan
Sarvestan is a historic city in southern Iran known for its ancient Sassanid-era palace and archaeological sites.
|
E912322
|
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: Sarvestan | Statement: [Fars Province, containsCity, Sarvestan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sarvestan Context triple: [Fars Province, containsCity, Sarvestan]
-
A.
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.
-
B.
Larestan
Larestan is a county in southern Iran known for its historic towns, distinct local culture, and position within the broader Fars cultural region.
-
C.
Minab
Minab is a city in southern Iran known for its agriculture, traditional markets, and proximity to the Persian Gulf.
-
D.
Varzaqan
Varzaqan is a small city in northwestern Iran known for its mountainous terrain and proximity to significant copper mining operations.
-
E.
Andimeshk
Andimeshk is a city in southwestern Iran known as a regional transportation hub and gateway to the Zagros Mountains.
- 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: Sarvestan Triple: [Fars Province, containsCity, Sarvestan]
Generated description
Sarvestan is a historic city in southern Iran known for its ancient Sassanid-era palace and archaeological sites.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sarvestan Target entity description: Sarvestan is a historic city in southern Iran known for its ancient Sassanid-era palace and archaeological sites.
-
A.
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.
-
B.
Larestan
Larestan is a county in southern Iran known for its historic towns, distinct local culture, and position within the broader Fars cultural region.
-
C.
Minab
Minab is a city in southern Iran known for its agriculture, traditional markets, and proximity to the Persian Gulf.
-
D.
Varzaqan
Varzaqan is a small city in northwestern Iran known for its mountainous terrain and proximity to significant copper mining operations.
-
E.
Andimeshk
Andimeshk is a city in southwestern Iran known as a regional transportation hub and gateway to the Zagros Mountains.
- 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_69e4ace2228c8190936757f5b1eaa1eb |
completed | April 19, 2026, 10:22 a.m. |
| NEDg | Description generation | batch_69e4b12c04e48190ad7546d556a5109f |
completed | April 19, 2026, 10:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e4b2949c7c8190820b7f1f87e00602 |
completed | April 19, 2026, 10:46 a.m. |
Created at: April 8, 2026, 9:28 p.m.