Triple
T10540296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | East Azerbaijan Province |
E248676
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Bostanabad
Bostanabad is a town and administrative center in northwestern Iran known for its location along the main road between Tabriz and Tehran.
|
E875831
|
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: Bostanabad | Statement: [East Azerbaijan Province, containsCity, Bostanabad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bostanabad Context triple: [East Azerbaijan Province, containsCity, Bostanabad]
-
A.
Zafaraniyeh
Zafaraniyeh is an affluent residential neighborhood in northern Tehran, Iran, known for its upscale homes and proximity to the Alborz mountains.
-
B.
Asadabad
Asadabad is a city in western Iran that serves as an administrative and population center within Hamedan Province.
-
C.
Asadabad
Asadabad is a small but strategically important city in eastern Afghanistan, serving as the capital of Kunar Province near the Pakistani border.
-
D.
Margilan
Margilan is a historic city in eastern Uzbekistan renowned as a traditional center of silk production and trade along the Silk Road.
-
E.
Salehabad
Salehabad is a settlement located within Robat Karim County in Tehran Province, Iran.
- 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: Bostanabad Triple: [East Azerbaijan Province, containsCity, Bostanabad]
Generated description
Bostanabad is a town and administrative center in northwestern Iran known for its location along the main road between Tabriz and Tehran.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bostanabad Target entity description: Bostanabad is a town and administrative center in northwestern Iran known for its location along the main road between Tabriz and Tehran.
-
A.
Zafaraniyeh
Zafaraniyeh is an affluent residential neighborhood in northern Tehran, Iran, known for its upscale homes and proximity to the Alborz mountains.
-
B.
Asadabad
Asadabad is a city in western Iran that serves as an administrative and population center within Hamedan Province.
-
C.
Asadabad
Asadabad is a small but strategically important city in eastern Afghanistan, serving as the capital of Kunar Province near the Pakistani border.
-
D.
Margilan
Margilan is a historic city in eastern Uzbekistan renowned as a traditional center of silk production and trade along the Silk Road.
-
E.
Salehabad
Salehabad is a settlement located within Robat Karim County in Tehran Province, Iran.
- 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_69d381c733c08190ab1dd6239f5f34ae |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d50a582be48190856c6f272eea4dcf |
completed | April 7, 2026, 1:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d96b474a248190b46c31e8e0008f9f |
completed | April 10, 2026, 9:27 p.m. |
| NEDg | Description generation | batch_69d96dee84f48190bf5b0cb1115a8bba |
completed | April 10, 2026, 9:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d9708824208190acf75933962d690f |
completed | April 10, 2026, 9:50 p.m. |
Created at: April 6, 2026, 12:32 p.m.