Triple
T13818540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kopet Dag |
E332078
|
entity |
| Predicate | nearCity |
P350
|
FINISHED |
| Object |
Bojnurd
Bojnurd is a city in northeastern Iran that serves as the capital of North Khorasan Province.
|
E1134591
|
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: Bojnurd | Statement: [Kopet Dag, nearCity, Bojnurd]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bojnurd Context triple: [Kopet Dag, nearCity, Bojnurd]
-
A.
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.
-
B.
Khorramabad
Khorramabad is a city in western Iran and the capital of Lorestan Province, known for its mountainous surroundings and historical sites such as Falak-ol-Aflak Castle.
-
C.
Juybar
Juybar is a small city in northern Iran known for its location in the fertile, Caspian coastal region of Mazandaran.
-
D.
Piranshahr
Piranshahr is a predominantly Kurdish city in northwestern Iran known for its mountainous surroundings and role as a regional commercial center.
-
E.
Kerman
Kerman is a major city in southeastern Iran known for its rich history, traditional bazaars, and proximity to desert landscapes.
- 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: Bojnurd Triple: [Kopet Dag, nearCity, Bojnurd]
Generated description
Bojnurd is a city in northeastern Iran that serves as the capital of North Khorasan Province.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bojnurd Target entity description: Bojnurd is a city in northeastern Iran that serves as the capital of North Khorasan Province.
-
A.
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.
-
B.
Khorramabad
Khorramabad is a city in western Iran and the capital of Lorestan Province, known for its mountainous surroundings and historical sites such as Falak-ol-Aflak Castle.
-
C.
Juybar
Juybar is a small city in northern Iran known for its location in the fertile, Caspian coastal region of Mazandaran.
-
D.
Piranshahr
Piranshahr is a predominantly Kurdish city in northwestern Iran known for its mountainous surroundings and role as a regional commercial center.
-
E.
Kerman
Kerman is a major city in southeastern Iran known for its rich history, traditional bazaars, and proximity to desert landscapes.
- 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_69d81c59f8808190a851bc56afdc55e9 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0281bb988190803ee195f430b9c8 |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fea59d27bc81908ace0b7db9f57215 |
completed | May 9, 2026, 3:10 a.m. |
| NEDg | Description generation | batch_69fea66a04988190b483210c1671d287 |
completed | May 9, 2026, 3:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fea70e2fbc81908f168925b06bdbd6 |
completed | May 9, 2026, 3:16 a.m. |
Created at: April 9, 2026, 10:12 p.m.