Triple
T1658209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iran Standard Time |
E35846
|
entity |
| Predicate | usedInCity |
P4810
|
FINISHED |
| Object |
Bojnord
Bojnord is a city in northeastern Iran that serves as the capital of North Khorasan Province.
|
E221030
|
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: Bojnord | Statement: [Iran Standard Time, usedInCity, Bojnord]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bojnord Context triple: [Iran Standard Time, usedInCity, Bojnord]
-
A.
Grimstad
Grimstad is a coastal town and municipality in southern Norway known for its maritime heritage, charming wooden houses, and role as a summer tourist destination.
-
B.
Sandefjord
Sandefjord is a coastal town and municipality in southern Norway known for its maritime heritage, whaling history, and popular seaside attractions.
-
C.
Nordfjordeid
Nordfjordeid is a village in western Norway known as a regional center in Nordfjord and the birthplace of mathematician Sophus Lie.
-
D.
Bodø
Bodø is a coastal city in northern Norway known as a regional hub for culture, transport, and access to Arctic nature.
-
E.
Arendal
Arendal is a coastal town and municipality in southern Norway known historically as a regional political and trading center.
- 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: Bojnord Triple: [Iran Standard Time, usedInCity, Bojnord]
Generated description
Bojnord is a city in northeastern Iran that serves as the capital of North Khorasan Province.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bojnord Target entity description: Bojnord is a city in northeastern Iran that serves as the capital of North Khorasan Province.
-
A.
Grimstad
Grimstad is a coastal town and municipality in southern Norway known for its maritime heritage, charming wooden houses, and role as a summer tourist destination.
-
B.
Sandefjord
Sandefjord is a coastal town and municipality in southern Norway known for its maritime heritage, whaling history, and popular seaside attractions.
-
C.
Nordfjordeid
Nordfjordeid is a village in western Norway known as a regional center in Nordfjord and the birthplace of mathematician Sophus Lie.
-
D.
Bodø
Bodø is a coastal city in northern Norway known as a regional hub for culture, transport, and access to Arctic nature.
-
E.
Arendal
Arendal is a coastal town and municipality in southern Norway known historically as a regional political and trading center.
- 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_69a88606aa808190aa0b421b4271f220 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a90aafe5e881908158fab83998fd07 |
completed | March 5, 2026, 4:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae02fd8f68819080a4b39ce3ad1198 |
completed | March 8, 2026, 11:15 p.m. |
| NEDg | Description generation | batch_69ae0354854c8190873938e03d56db21 |
completed | March 8, 2026, 11:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae039c7728819086acf060afcbe5b6 |
completed | March 8, 2026, 11:17 p.m. |
Created at: March 4, 2026, 7:29 p.m.