Triple
T13182235
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rab |
E313756
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Kampor
Kampor is a coastal village and tourist settlement on the Croatian island of Rab, known for its beaches, coves, and traditional fishing heritage.
|
E1026904
|
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: Kampor | Statement: [Rab, hasSettlement, Kampor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kampor Context triple: [Rab, hasSettlement, Kampor]
-
A.
Kampur
Kampur is a town in Assam, India, situated within the Nagaon district and known as one of its notable local centers.
-
B.
Kasada
Kasada is a traditional Hindu ritual and festival observed by the Tenggerese people of East Java, Indonesia, involving offerings cast into the crater of Mount Bromo.
-
C.
Kanpa
Kanpa is a small remote Aboriginal community located within Western Australia’s Shire of Ngaanyatjarraku.
-
D.
Kanamits
The Kanamits are a seemingly benevolent but ultimately sinister alien race from the classic The Twilight Zone episode "To Serve Man," known for their deceptive promise to help humanity.
-
E.
Tokoro
Tokoro is a coastal district of Kitami City in Hokkaido, Japan, known historically for its fishing industry and drift ice along the Sea of Okhotsk.
- 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: Kampor Triple: [Rab, hasSettlement, Kampor]
Generated description
Kampor is a coastal village and tourist settlement on the Croatian island of Rab, known for its beaches, coves, and traditional fishing heritage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kampor Target entity description: Kampor is a coastal village and tourist settlement on the Croatian island of Rab, known for its beaches, coves, and traditional fishing heritage.
-
A.
Kampur
Kampur is a town in Assam, India, situated within the Nagaon district and known as one of its notable local centers.
-
B.
Kasada
Kasada is a traditional Hindu ritual and festival observed by the Tenggerese people of East Java, Indonesia, involving offerings cast into the crater of Mount Bromo.
-
C.
Kanpa
Kanpa is a small remote Aboriginal community located within Western Australia’s Shire of Ngaanyatjarraku.
-
D.
Kanamits
The Kanamits are a seemingly benevolent but ultimately sinister alien race from the classic The Twilight Zone episode "To Serve Man," known for their deceptive promise to help humanity.
-
E.
Tokoro
Tokoro is a coastal district of Kitami City in Hokkaido, Japan, known historically for its fishing industry and drift ice along the Sea of Okhotsk.
- 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_69d806ae1e08819090d95bfe1538cc17 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c490ed081908ea54edb25c3de90 |
completed | April 10, 2026, 11:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f5f307408190afd0df16a417c456 |
completed | May 3, 2026, 7:14 a.m. |
| NEDg | Description generation | batch_69f6f707d9e48190b772520ca9f4ac2c |
completed | May 3, 2026, 7:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6f85149cc8190adf68387475d3286 |
completed | May 3, 2026, 7:25 a.m. |
Created at: April 9, 2026, 9:15 p.m.