Triple
T8056313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bihać |
E188010
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Una-Sana Canton
Una-Sana Canton is an administrative region in the northwest of Bosnia and Herzegovina, known for its rivers, natural landscapes, and the city of Bihać as its administrative center.
|
E707066
|
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: Una-Sana Canton | Statement: [Bihać, locatedIn, Una-Sana Canton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Una-Sana Canton Context triple: [Bihać, locatedIn, Una-Sana Canton]
-
A.
Mera Canton
Mera Canton is an administrative subdivision in Ecuador located within Pastaza Province in the Amazon region.
-
B.
Twann
Twann is a picturesque Swiss village on the shores of Lake Biel, known for its vineyards and wine-growing tradition.
-
C.
Nobol Canton
Nobol Canton is an administrative subdivision in Ecuador’s Guayas Province, known for its agricultural activities and location within the coastal lowlands.
-
D.
Hintonburg
Hintonburg is a historic, arts-oriented urban neighbourhood in west-central Ottawa, known for its mix of residential streets, independent shops, and cultural venues.
-
E.
Kahana
Kahana is a variant form of the Jewish surname Cohen, often used in Ashkenazi 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: Una-Sana Canton Triple: [Bihać, locatedIn, Una-Sana Canton]
Generated description
Una-Sana Canton is an administrative region in the northwest of Bosnia and Herzegovina, known for its rivers, natural landscapes, and the city of Bihać as its administrative center.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Una-Sana Canton Target entity description: Una-Sana Canton is an administrative region in the northwest of Bosnia and Herzegovina, known for its rivers, natural landscapes, and the city of Bihać as its administrative center.
-
A.
Mera Canton
Mera Canton is an administrative subdivision in Ecuador located within Pastaza Province in the Amazon region.
-
B.
Twann
Twann is a picturesque Swiss village on the shores of Lake Biel, known for its vineyards and wine-growing tradition.
-
C.
Nobol Canton
Nobol Canton is an administrative subdivision in Ecuador’s Guayas Province, known for its agricultural activities and location within the coastal lowlands.
-
D.
Hintonburg
Hintonburg is a historic, arts-oriented urban neighbourhood in west-central Ottawa, known for its mix of residential streets, independent shops, and cultural venues.
-
E.
Kahana
Kahana is a variant form of the Jewish surname Cohen, often used in Ashkenazi 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_69ca82b2f68881908c50560697e210da |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3fa26fb88190b6799bddeb68ed78 |
completed | March 31, 2026, 3:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc5725c5308190b2eb565902124b10 |
completed | March 31, 2026, 11:22 p.m. |
| NEDg | Description generation | batch_69cc58ae255c8190a6a2d2f335c6cc3f |
completed | March 31, 2026, 11:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc5cd22b188190b8a31e8e8ac8b98d |
completed | March 31, 2026, 11:46 p.m. |
Created at: March 30, 2026, 5:25 p.m.