Triple
T13223916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Istriot |
E314824
|
entity |
| Predicate | hasDialects |
P4251
|
FINISHED |
| Object |
Baleese
Baleese is a regional dialect of the Istriot language traditionally spoken in parts of the Istrian peninsula.
|
E1029270
|
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: Baleese | Statement: [Istriot, hasDialects, Baleese]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baleese Context triple: [Istriot, hasDialects, Baleese]
-
A.
Balair
Balair was a Swiss charter airline that operated primarily leisure and holiday flights, and later became part of the Swissair Group.
-
B.
Balgo
Balgo is a remote Aboriginal community in Western Australia known for its rich Indigenous culture and renowned desert art.
-
C.
Baflo
Baflo is a village in the Dutch province of Groningen, known for its historic church and rural character.
-
D.
Barellan
Barellan is a small rural town in the Riverina region of New South Wales, Australia, known for its grain farming and association with tennis champion Evonne Goolagong-Cawley.
-
E.
Bereina
Bereina is a small town in Papua New Guinea’s Central Province, known primarily as a rural administrative and service center for surrounding villages.
- 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: Baleese Triple: [Istriot, hasDialects, Baleese]
Generated description
Baleese is a regional dialect of the Istriot language traditionally spoken in parts of the Istrian peninsula.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Baleese Target entity description: Baleese is a regional dialect of the Istriot language traditionally spoken in parts of the Istrian peninsula.
-
A.
Balair
Balair was a Swiss charter airline that operated primarily leisure and holiday flights, and later became part of the Swissair Group.
-
B.
Balgo
Balgo is a remote Aboriginal community in Western Australia known for its rich Indigenous culture and renowned desert art.
-
C.
Baflo
Baflo is a village in the Dutch province of Groningen, known for its historic church and rural character.
-
D.
Barellan
Barellan is a small rural town in the Riverina region of New South Wales, Australia, known for its grain farming and association with tennis champion Evonne Goolagong-Cawley.
-
E.
Bereina
Bereina is a small town in Papua New Guinea’s Central Province, known primarily as a rural administrative and service center for surrounding villages.
- 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_69d806affc688190a25b6ccc588e9c72 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98cf74d708190a61d8ad938653b06 |
completed | April 10, 2026, 11:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6ff28612c81909d4fe93b0e571deb |
completed | May 3, 2026, 7:54 a.m. |
| NEDg | Description generation | batch_69f702263edc8190ad775eb876837296 |
completed | May 3, 2026, 8:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7031a4490819081da260edd969ee8 |
completed | May 3, 2026, 8:11 a.m. |
Created at: April 9, 2026, 9:19 p.m.