Triple
T10298872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lorestan Province |
E241570
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Kuhdasht
Kuhdasht is a city in western Iran known as an agricultural and regional center within Lorestan Province.
|
E856303
|
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: Kuhdasht | Statement: [Lorestan Province, containsCity, Kuhdasht]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kuhdasht Context triple: [Lorestan Province, containsCity, Kuhdasht]
-
A.
Taleqan
Taleqan is a small mountainous city in northern Iran known for its cool climate, natural landscapes, and traditional rural architecture.
-
B.
Pakdasht
Pakdasht is a city in Tehran Province, Iran, known as an industrial and agricultural hub located southeast of Tehran.
-
C.
Daykundi
Daykundi is a central Afghan province within the Hazarajat region, known for its predominantly Hazara population and mountainous terrain.
-
D.
Hormuzd
Hormuzd is a masculine given name most notably borne by Hormuzd Rassam, a 19th-century Assyriologist and archaeologist known for his discoveries of ancient Mesopotamian artifacts.
-
E.
Firuzkuh
Firuzkuh is a small city in Tehran Province, Iran, known for its mountainous landscape and cool climate.
- 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: Kuhdasht Triple: [Lorestan Province, containsCity, Kuhdasht]
Generated description
Kuhdasht is a city in western Iran known as an agricultural and regional center within Lorestan Province.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kuhdasht Target entity description: Kuhdasht is a city in western Iran known as an agricultural and regional center within Lorestan Province.
-
A.
Taleqan
Taleqan is a small mountainous city in northern Iran known for its cool climate, natural landscapes, and traditional rural architecture.
-
B.
Pakdasht
Pakdasht is a city in Tehran Province, Iran, known as an industrial and agricultural hub located southeast of Tehran.
-
C.
Daykundi
Daykundi is a central Afghan province within the Hazarajat region, known for its predominantly Hazara population and mountainous terrain.
-
D.
Hormuzd
Hormuzd is a masculine given name most notably borne by Hormuzd Rassam, a 19th-century Assyriologist and archaeologist known for his discoveries of ancient Mesopotamian artifacts.
-
E.
Firuzkuh
Firuzkuh is a small city in Tehran Province, Iran, known for its mountainous landscape and cool climate.
- 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_69d381aaafc08190af475ef58dc16aba |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2ed50908190962f0d6d049fb964 |
completed | April 7, 2026, 9:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71d35d5908190bb87100c81f2948a |
completed | April 9, 2026, 3:29 a.m. |
| NEDg | Description generation | batch_69d7318402f08190b655bdddbd97ecb9 |
completed | April 9, 2026, 4:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d734473ef48190852dbe48742a4273 |
completed | April 9, 2026, 5:08 a.m. |
Created at: April 6, 2026, 11:44 a.m.