Triple
T8735453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baharestan County |
E207370
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Salehabad
Salehabad is a village-level settlement located within Baharestan County in Tehran Province, Iran.
|
E799532
|
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: Salehabad | Statement: [Baharestan County, hasSettlement, Salehabad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Salehabad Context triple: [Baharestan County, hasSettlement, Salehabad]
-
A.
Salehabad
Salehabad is a settlement located within Robat Karim County in Tehran Province, Iran.
-
B.
Aliabad
Aliabad is a small town in northern Pakistan that serves as the main commercial and administrative center of the Hunza Valley in Gilgit-Baltistan.
-
C.
Nasirshahr
Nasirshahr is a city in Robat Karim County within Tehran Province, Iran, functioning as a local urban center for the surrounding region.
-
D.
Mehdishahr
Mehdishahr is a city in north-central Iran known for its location in the mountainous region of Semnan Province and its relatively cool climate.
-
E.
Shahrud
Shahrud is a major city in northeastern Iran known as an important regional hub for transportation, agriculture, and access to nearby natural attractions such as the Alborz Mountains and desert landscapes.
- 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: Salehabad Triple: [Baharestan County, hasSettlement, Salehabad]
Generated description
Salehabad is a village-level settlement located within Baharestan County in Tehran Province, Iran.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Salehabad Target entity description: Salehabad is a village-level settlement located within Baharestan County in Tehran Province, Iran.
-
A.
Salehabad
Salehabad is a settlement located within Robat Karim County in Tehran Province, Iran.
-
B.
Aliabad
Aliabad is a small town in northern Pakistan that serves as the main commercial and administrative center of the Hunza Valley in Gilgit-Baltistan.
-
C.
Nasirshahr
Nasirshahr is a city in Robat Karim County within Tehran Province, Iran, functioning as a local urban center for the surrounding region.
-
D.
Mehdishahr
Mehdishahr is a city in north-central Iran known for its location in the mountainous region of Semnan Province and its relatively cool climate.
-
E.
Shahrud
Shahrud is a major city in northeastern Iran known as an important regional hub for transportation, agriculture, and access to nearby natural attractions such as the Alborz Mountains and desert landscapes.
- 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_69ca8358e4008190898471a59b96c301 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d2b89988190bb7671e273026046 |
completed | March 31, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d110045e6c8190b6ef9db10b5f688e |
completed | April 4, 2026, 1:20 p.m. |
| NEDg | Description generation | batch_69d111a770c881909a2902d36cd7913c |
completed | April 4, 2026, 1:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d112634fb48190b4c7e9d997d27928 |
completed | April 4, 2026, 1:30 p.m. |
Created at: March 30, 2026, 6:37 p.m.