Triple
T10540303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | East Azerbaijan Province |
E248676
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Kaleibar
Kaleibar is a small historic city in northwestern Iran known for its mountainous landscapes and proximity to the Babak Castle fortress.
|
E870973
|
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: Kaleibar | Statement: [East Azerbaijan Province, containsCity, Kaleibar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kaleibar Context triple: [East Azerbaijan Province, containsCity, Kaleibar]
-
A.
Kalsa
Kalsa is a historic district of Palermo, Italy, known for its Arab-Norman heritage, medieval streets, and vibrant cultural life.
-
B.
Kalabahi
Kalabahi is the main town and administrative center on Alor Island in Indonesia’s East Nusa Tenggara province.
-
C.
Kabiye
Kabiye is a Gur language spoken primarily in northern Togo and recognized as one of the country's major national languages.
-
D.
Kameçvara
Kameçvara was a prominent king of the medieval Javanese Kediri Kingdom, remembered for his prosperous reign and association with the classic romance tale of Panji.
-
E.
Kaileuna
Kaileuna is one of the inhabited islands of Papua New Guinea’s Trobriand archipelago in the Solomon Sea.
- 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: Kaleibar Triple: [East Azerbaijan Province, containsCity, Kaleibar]
Generated description
Kaleibar is a small historic city in northwestern Iran known for its mountainous landscapes and proximity to the Babak Castle fortress.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kaleibar Target entity description: Kaleibar is a small historic city in northwestern Iran known for its mountainous landscapes and proximity to the Babak Castle fortress.
-
A.
Kalsa
Kalsa is a historic district of Palermo, Italy, known for its Arab-Norman heritage, medieval streets, and vibrant cultural life.
-
B.
Kalabahi
Kalabahi is the main town and administrative center on Alor Island in Indonesia’s East Nusa Tenggara province.
-
C.
Kabiye
Kabiye is a Gur language spoken primarily in northern Togo and recognized as one of the country's major national languages.
-
D.
Kameçvara
Kameçvara was a prominent king of the medieval Javanese Kediri Kingdom, remembered for his prosperous reign and association with the classic romance tale of Panji.
-
E.
Kaileuna
Kaileuna is one of the inhabited islands of Papua New Guinea’s Trobriand archipelago in the Solomon Sea.
- 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_69d9341d96c08190a6ba644b9acfe2c8 |
completed | April 10, 2026, 5:32 p.m. |
| NEDg | Description generation | batch_69d93802a4488190aa86ae209650d4e7 |
completed | April 10, 2026, 5:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d938fcc3c48190a4acaaf75c1aa304 |
completed | April 10, 2026, 5:53 p.m. |
Created at: April 6, 2026, 12:32 p.m.