Triple
T6183027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zadar County |
E137988
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Kolane
Kolane is a small municipality located within Zadar County in Croatia.
|
E573948
|
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: Kolane | Statement: [Zadar County, hasMunicipality, Kolane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kolane Context triple: [Zadar County, hasMunicipality, Kolane]
-
A.
Kololo
Kololo refers to the Sotho-speaking people whose 19th-century migration and conquest in south-central Africa significantly influenced the formation and language of the Lozi kingdom in present-day Zambia.
-
B.
Kandia
Kandia is a remote valley and settlement area located within Pakistan’s Kohistan mountain ranges, known for its rugged terrain and isolated communities.
-
C.
Kalanga
Kalanga is a Southern Bantu language spoken primarily in southwestern Zimbabwe and northeastern Botswana by the Kalanga people.
-
D.
Biloela
Biloela is a rural town in Queensland, Australia, known as an agricultural and administrative centre for the surrounding Central Queensland region.
-
E.
Xola
Xola is a Mexico City Metro station on Line 2 that serves the southern part of the city near the Calzada de Tlalpan corridor.
- 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: Kolane Triple: [Zadar County, hasMunicipality, Kolane]
Generated description
Kolane is a small municipality located within Zadar County in Croatia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kolane Target entity description: Kolane is a small municipality located within Zadar County in Croatia.
-
A.
Kololo
Kololo refers to the Sotho-speaking people whose 19th-century migration and conquest in south-central Africa significantly influenced the formation and language of the Lozi kingdom in present-day Zambia.
-
B.
Kandia
Kandia is a remote valley and settlement area located within Pakistan’s Kohistan mountain ranges, known for its rugged terrain and isolated communities.
-
C.
Kalanga
Kalanga is a Southern Bantu language spoken primarily in southwestern Zimbabwe and northeastern Botswana by the Kalanga people.
-
D.
Biloela
Biloela is a rural town in Queensland, Australia, known as an agricultural and administrative centre for the surrounding Central Queensland region.
-
E.
Xola
Xola is a Mexico City Metro station on Line 2 that serves the southern part of the city near the Calzada de Tlalpan corridor.
- 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_69c008a8fd408190b7ec6e42934974a6 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06100c2b0819097f287e86f63d590 |
completed | March 22, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c141c30d28819095d719adc421b02d |
completed | March 23, 2026, 1:36 p.m. |
| NEDg | Description generation | batch_69c14426f414819084bd3bafa81d6c00 |
completed | March 23, 2026, 1:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c144b45a148190a95095d7141ddeb0 |
completed | March 23, 2026, 1:48 p.m. |
Created at: March 22, 2026, 4:19 p.m.