Triple
T12948102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yazd Province |
E309820
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Abarkuh
Abarkuh is a historic desert city in central Iran known for its ancient cypress tree and traditional mud-brick architecture.
|
E1011495
|
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: Abarkuh | Statement: [Yazd Province, hasCity, Abarkuh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Abarkuh Context triple: [Yazd Province, hasCity, Abarkuh]
-
A.
Jakharrah
Jakharrah is a settlement located in Libya’s Al Wahat District, an eastern region known for its desert landscapes and oases.
-
B.
Abhar
Abhar is a city in northwestern Iran known for its historical significance and its location along the route between Tehran and Tabriz.
-
C.
Khaf
Khaf is a city in northeastern Iran known for its location in Razavi Khorasan Province near the border with Afghanistan.
-
D.
Shemshak
Shemshak is a mountain village and ski resort in the Alborz range of northern Iran, known for its steep slopes and popularity among advanced skiers.
-
E.
Degahabur
Degahabur is a town in eastern Ethiopia that serves as an administrative and commercial center within the Somali Region.
- 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: Abarkuh Triple: [Yazd Province, hasCity, Abarkuh]
Generated description
Abarkuh is a historic desert city in central Iran known for its ancient cypress tree and traditional mud-brick architecture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Abarkuh Target entity description: Abarkuh is a historic desert city in central Iran known for its ancient cypress tree and traditional mud-brick architecture.
-
A.
Jakharrah
Jakharrah is a settlement located in Libya’s Al Wahat District, an eastern region known for its desert landscapes and oases.
-
B.
Abhar
Abhar is a city in northwestern Iran known for its historical significance and its location along the route between Tehran and Tabriz.
-
C.
Khaf
Khaf is a city in northeastern Iran known for its location in Razavi Khorasan Province near the border with Afghanistan.
-
D.
Shemshak
Shemshak is a mountain village and ski resort in the Alborz range of northern Iran, known for its steep slopes and popularity among advanced skiers.
-
E.
Degahabur
Degahabur is a town in eastern Ethiopia that serves as an administrative and commercial center within the Somali Region.
- 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_69d7bdfb57a88190836b743e2825feca |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97e1c67b8819094e5243267f93ce2 |
completed | April 10, 2026, 10:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6af7790808190826f98e8aff01523 |
completed | May 3, 2026, 2:14 a.m. |
| NEDg | Description generation | batch_69f6b115720481908796955032043530 |
completed | May 3, 2026, 2:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6b1ea3d288190875888be8356da48 |
completed | May 3, 2026, 2:24 a.m. |
Created at: April 9, 2026, 5:43 p.m.