Triple
T22574715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vodnjan |
E544361
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Betiga
Betiga is a small settlement in the municipality of Vodnjan in the Istria region of Croatia, known for its coastal location and nearby archaeological remains.
|
E1543107
|
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: Betiga | Statement: [Vodnjan, hasSettlement, Betiga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Betiga Context triple: [Vodnjan, hasSettlement, Betiga]
-
A.
Bettega
Bettega is an Italian surname most notably associated with former Juventus and Italy footballer Roberto Bettega.
-
B.
Beita
Beita is a Palestinian town in the central West Bank known for its location south of Nablus and for frequent land and settlement-related tensions with Israeli authorities and settlers.
-
C.
Buhera
Buhera is a rural town and district center in eastern Zimbabwe known for its agricultural activities and location within Manicaland Province.
-
D.
Bisha
Bisha is a major inland city in southwestern Saudi Arabia known for its agricultural production and strategic location within the Asir region.
-
E.
Beerta
Beerta is a village in the municipality of Oldambt in the province of Groningen in the northeastern Netherlands.
- 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: Betiga Triple: [Vodnjan, hasSettlement, Betiga]
Generated description
Betiga is a small settlement in the municipality of Vodnjan in the Istria region of Croatia, known for its coastal location and nearby archaeological remains.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Betiga Target entity description: Betiga is a small settlement in the municipality of Vodnjan in the Istria region of Croatia, known for its coastal location and nearby archaeological remains.
-
A.
Bettega
Bettega is an Italian surname most notably associated with former Juventus and Italy footballer Roberto Bettega.
-
B.
Beita
Beita is a Palestinian town in the central West Bank known for its location south of Nablus and for frequent land and settlement-related tensions with Israeli authorities and settlers.
-
C.
Buhera
Buhera is a rural town and district center in eastern Zimbabwe known for its agricultural activities and location within Manicaland Province.
-
D.
Bisha
Bisha is a major inland city in southwestern Saudi Arabia known for its agricultural production and strategic location within the Asir region.
-
E.
Beerta
Beerta is a village in the municipality of Oldambt in the province of Groningen in the northeastern Netherlands.
- 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_69e11e30d05481909df915354c89f0d6 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f15fec296481908a6101b02e5bedaa |
completed | April 29, 2026, 1:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b2d7ad7888190b2815c074475d932 |
completed | May 18, 2026, 3:17 p.m. |
| NEDg | Description generation | batch_6a0b3648cb208190b749e343c3d5c88d |
completed | May 18, 2026, 3:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b37002120819097bf1f6e56b6afe5 |
completed | May 18, 2026, 3:57 p.m. |
Created at: April 16, 2026, 8:53 p.m.