Triple
T14737392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Khorasan Province |
E346248
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
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.
|
E1117581
|
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: Faruj | Statement: [North Khorasan Province, containsCity, Faruj]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Faruj Context triple: [North Khorasan Province, containsCity, Faruj]
-
A.
Farhual
Farhual is a regional dialect of the Hakha Chin language spoken by Chin communities in parts of Myanmar and neighboring areas.
-
B.
Boghni
Boghni is a town and commune in northern Algeria’s Kabylie region, known for its Berber (Amazigh) cultural heritage and mountainous surroundings.
-
C.
Aligudarz
Aligudarz is a city in western Iran known for its mountainous surroundings and location within Lorestan Province.
-
D.
Vahun
Vahun is a town in northwestern Liberia that serves as one of the local settlements within Lofa County near the border with Sierra Leone.
-
E.
Dalir
Dalir is a historical district in western Iceland known for its early settlement farms and associations with medieval Icelandic sagas and figures.
- 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: Faruj Triple: [North Khorasan Province, containsCity, Faruj]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Faruj Target entity description: 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.
-
A.
Farhual
Farhual is a regional dialect of the Hakha Chin language spoken by Chin communities in parts of Myanmar and neighboring areas.
-
B.
Boghni
Boghni is a town and commune in northern Algeria’s Kabylie region, known for its Berber (Amazigh) cultural heritage and mountainous surroundings.
-
C.
Aligudarz
Aligudarz is a city in western Iran known for its mountainous surroundings and location within Lorestan Province.
-
D.
Vahun
Vahun is a town in northwestern Liberia that serves as one of the local settlements within Lofa County near the border with Sierra Leone.
-
E.
Dalir
Dalir is a historical district in western Iceland known for its early settlement farms and associations with medieval Icelandic sagas and figures.
- 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_69d822e6f1c88190bc494d491a907114 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec73264848190be23c5f0260cbe13 |
completed | April 14, 2026, 11:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdfb90378481909a3083680f11101c |
completed | May 8, 2026, 3:04 p.m. |
| NEDg | Description generation | batch_69fe0105fe8081909be6d790ba18693c |
completed | May 8, 2026, 3:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe01668bd88190a1db045fdad514ba |
completed | May 8, 2026, 3:29 p.m. |
Created at: April 10, 2026, 1:29 a.m.