Triple
T10380756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hamedan Province |
E244633
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Kabudarahang
Kabudarahang is a city in western Iran that serves as a local administrative and population center within Hamedan Province.
|
E859458
|
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: Kabudarahang | Statement: [Hamedan Province, hasCity, Kabudarahang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kabudarahang Context triple: [Hamedan Province, hasCity, Kabudarahang]
-
A.
Kulata
Kulata is a village in southwestern Bulgaria near the Greek border, serving as an important border crossing and transport hub between the two countries.
-
B.
Kaharingan
Kaharingan is an indigenous animist and ancestor-venerating belief system of the Dayak peoples of Borneo, centered on harmony with nature and complex ritual practices.
-
C.
Dadiangas
Dadiangas is the former name of General Santos, a major city in the southern Philippines known for its tuna fishing industry.
-
D.
Kabiye
Kabiye is a Gur language spoken primarily in northern Togo and recognized as one of the country's major national languages.
-
E.
Kalamansig
Kalamansig is a coastal municipality in the province of Sultan Kudarat in the Philippines, known for its fishing industry and diverse indigenous communities.
- 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: Kabudarahang Triple: [Hamedan Province, hasCity, Kabudarahang]
Generated description
Kabudarahang is a city in western Iran that serves as a local administrative and population center within Hamedan Province.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kabudarahang Target entity description: Kabudarahang is a city in western Iran that serves as a local administrative and population center within Hamedan Province.
-
A.
Kulata
Kulata is a village in southwestern Bulgaria near the Greek border, serving as an important border crossing and transport hub between the two countries.
-
B.
Kaharingan
Kaharingan is an indigenous animist and ancestor-venerating belief system of the Dayak peoples of Borneo, centered on harmony with nature and complex ritual practices.
-
C.
Dadiangas
Dadiangas is the former name of General Santos, a major city in the southern Philippines known for its tuna fishing industry.
-
D.
Kabiye
Kabiye is a Gur language spoken primarily in northern Togo and recognized as one of the country's major national languages.
-
E.
Kalamansig
Kalamansig is a coastal municipality in the province of Sultan Kudarat in the Philippines, known for its fishing industry and diverse indigenous communities.
- 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_69d381b3e328819094b23b8edcd29b5a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9921fa48190a874aa9a9e385b97 |
completed | April 7, 2026, 11:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7958803e88190a7bbeda4f2c6f32c |
completed | April 9, 2026, 12:03 p.m. |
| NEDg | Description generation | batch_69d79784baa481909e57adda27578cc2 |
completed | April 9, 2026, 12:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d7989f8dfc8190b1fe4429f7bb0283 |
completed | April 9, 2026, 12:16 p.m. |
Created at: April 6, 2026, 12:03 p.m.