Triple
T21281022
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chaharmahal and Bakhtiari Province |
E524522
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Farsan
Farsan is a small city in western Iran known for its Bakhtiari tribal culture and scenic mountainous surroundings.
|
E1476502
|
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: Farsan | Statement: [Chaharmahal and Bakhtiari Province, containsCity, Farsan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Farsan Context triple: [Chaharmahal and Bakhtiari Province, containsCity, Farsan]
-
A.
Faruj
Faruj is a small city in northeastern Iran known for its location within North Khorasan Province and its role as a local administrative and commercial center.
-
B.
Farhual
Farhual is a regional dialect of the Hakha Chin language spoken by Chin communities in parts of Myanmar and neighboring areas.
-
C.
Shatili
Shatili is a historic highland village in northeastern Georgia, renowned for its medieval stone towers and fortress-like architecture nestled in the remote Khevsureti region of the Caucasus Mountains.
-
D.
Faya
Faya is a town in northern Chad that serves as an important oasis and regional administrative center in the Sahara Desert.
-
E.
Faraya
Faraya is a popular Lebanese mountain village and ski resort town known for its scenic landscapes and winter sports.
- 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: Farsan Triple: [Chaharmahal and Bakhtiari Province, containsCity, Farsan]
Generated description
Farsan is a small city in western Iran known for its Bakhtiari tribal culture and scenic mountainous surroundings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Farsan Target entity description: Farsan is a small city in western Iran known for its Bakhtiari tribal culture and scenic mountainous surroundings.
-
A.
Faruj
Faruj is a small city in northeastern Iran known for its location within North Khorasan Province and its role as a local administrative and commercial center.
-
B.
Farhual
Farhual is a regional dialect of the Hakha Chin language spoken by Chin communities in parts of Myanmar and neighboring areas.
-
C.
Shatili
Shatili is a historic highland village in northeastern Georgia, renowned for its medieval stone towers and fortress-like architecture nestled in the remote Khevsureti region of the Caucasus Mountains.
-
D.
Faya
Faya is a town in northern Chad that serves as an important oasis and regional administrative center in the Sahara Desert.
-
E.
Faraya
Faraya is a popular Lebanese mountain village and ski resort town known for its scenic landscapes and winter sports.
- 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_69e0b5171f6c8190a5d57201ede73811 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e736d186988190a5b16fcb669ece9f |
completed | April 21, 2026, 8:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09980294548190a099b4d83be09b04 |
completed | May 17, 2026, 10:27 a.m. |
| NEDg | Description generation | batch_6a0998c794f08190bbf31ce6df99229d |
completed | May 17, 2026, 10:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0999884e0481909b7ea54cd7ef87b5 |
completed | May 17, 2026, 10:33 a.m. |
Created at: April 16, 2026, 4:02 p.m.