Triple
T10794822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zanjan Province |
E254676
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Khodabandeh
Khodabandeh is a city in Iran that serves as one of the main urban centers of Zanjan Province.
|
E887967
|
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: Khodabandeh | Statement: [Zanjan Province, hasCity, Khodabandeh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Khodabandeh Context triple: [Zanjan Province, hasCity, Khodabandeh]
-
A.
Mohammad Khodabanda
Mohammad Khodabanda was a Safavid shah of Iran who ruled from 1578 to 1587, known for his weak leadership during a period of internal strife and Ottoman advances.
-
B.
Malekshahi
Malekshahi is a dialect of Southern Kurdish spoken primarily by the Malekshahi Kurdish tribe in western Iran and parts of Iraq.
-
C.
Khosrowshahi
Khosrowshahi is a Persian surname most prominently associated with Dara Khosrowshahi, the Iranian-American business executive and CEO of Uber.
-
D.
Rahbar
Rahbar is the title commonly used for the Supreme Leader of Iran, the country's highest political and religious authority.
-
E.
Khosrovidukht
Khosrovidukht was an early Armenian noblewoman and hymnographer traditionally credited with composing one of the oldest known Armenian Christian hymns and contributing to the spread of Christianity in Armenia.
- 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: Khodabandeh Triple: [Zanjan Province, hasCity, Khodabandeh]
Generated description
Khodabandeh is a city in Iran that serves as one of the main urban centers of Zanjan Province.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Khodabandeh Target entity description: Khodabandeh is a city in Iran that serves as one of the main urban centers of Zanjan Province.
-
A.
Mohammad Khodabanda
Mohammad Khodabanda was a Safavid shah of Iran who ruled from 1578 to 1587, known for his weak leadership during a period of internal strife and Ottoman advances.
-
B.
Malekshahi
Malekshahi is a dialect of Southern Kurdish spoken primarily by the Malekshahi Kurdish tribe in western Iran and parts of Iraq.
-
C.
Khosrowshahi
Khosrowshahi is a Persian surname most prominently associated with Dara Khosrowshahi, the Iranian-American business executive and CEO of Uber.
-
D.
Rahbar
Rahbar is the title commonly used for the Supreme Leader of Iran, the country's highest political and religious authority.
-
E.
Khosrovidukht
Khosrovidukht was an early Armenian noblewoman and hymnographer traditionally credited with composing one of the oldest known Armenian Christian hymns and contributing to the spread of Christianity in Armenia.
- 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_69d6aa61c15c8190a1839550c56e75e1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d733321dd881909dcd4224dfa9822a |
completed | April 9, 2026, 5:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de84f1fdfc8190a31a13ae434e56c1 |
completed | April 14, 2026, 6:18 p.m. |
| NEDg | Description generation | batch_69de8e6f3fac8190bcd1675978d6d6d7 |
completed | April 14, 2026, 6:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69de8fa679cc81909cb51035e5403ce9 |
completed | April 14, 2026, 7:04 p.m. |
Created at: April 8, 2026, 9:17 p.m.