Triple
T14818415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Khorasan Province |
E348379
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Khusf
Khusf is a small city in eastern Iran that serves as one of the urban centers of South Khorasan Province.
|
E1121537
|
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: Khusf | Statement: [South Khorasan Province, hasCity, Khusf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Khusf Context triple: [South Khorasan Province, hasCity, Khusf]
-
A.
El Quseyya
El Quseyya is a city in Upper Egypt situated along the Nile within the Asyut Governorate.
-
B.
Taqah
Taqah is a coastal town in Oman’s Dhofar Governorate, known for its historic fort, traditional architecture, and proximity to the monsoon-cooled landscapes of Salalah.
-
C.
Al-Haqqah
Al-Haqqah is the 69th chapter of the Qur’an, known for its vivid depiction of the Day of Judgment and the ultimate reality of divine accountability.
-
D.
Khuzhir
Khuzhir is the main village and tourist hub on Olkhon Island in Lake Baikal, Russia, known for its proximity to the sacred Shaman Rock and dramatic Siberian landscapes.
-
E.
Al-Rastan
Al-Rastan is a city in central Syria, located in the Homs Governorate along the Orontes River, known historically for its strategic position and ancient ruins.
- 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: Khusf Triple: [South Khorasan Province, hasCity, Khusf]
Generated description
Khusf is a small city in eastern Iran that serves as one of the urban centers of South Khorasan Province.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Khusf Target entity description: Khusf is a small city in eastern Iran that serves as one of the urban centers of South Khorasan Province.
-
A.
El Quseyya
El Quseyya is a city in Upper Egypt situated along the Nile within the Asyut Governorate.
-
B.
Taqah
Taqah is a coastal town in Oman’s Dhofar Governorate, known for its historic fort, traditional architecture, and proximity to the monsoon-cooled landscapes of Salalah.
-
C.
Al-Haqqah
Al-Haqqah is the 69th chapter of the Qur’an, known for its vivid depiction of the Day of Judgment and the ultimate reality of divine accountability.
-
D.
Khuzhir
Khuzhir is the main village and tourist hub on Olkhon Island in Lake Baikal, Russia, known for its proximity to the sacred Shaman Rock and dramatic Siberian landscapes.
-
E.
Al-Rastan
Al-Rastan is a city in central Syria, located in the Homs Governorate along the Orontes River, known historically for its strategic position and ancient ruins.
- 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_69d822eb8f588190bf53445e730a934f |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decfe4cf38819090f25ef045351d5d |
completed | April 14, 2026, 11:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe389940e081908ad627955cb8d52e |
completed | May 8, 2026, 7:25 p.m. |
| NEDg | Description generation | batch_69fe3a315d2c81908db44e7792908e39 |
completed | May 8, 2026, 7:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe3bda81cc8190b256ec6284383dde |
completed | May 8, 2026, 7:39 p.m. |
Created at: April 10, 2026, 1:50 a.m.