Triple
T6329597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kedayan language |
E141944
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Kadayan
Kadayan is an alternative name for the Kedayan language, an Austronesian language spoken primarily in Brunei, Sabah, and parts of Sarawak.
|
E586754
|
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: Kadayan | Statement: [Kedayan language, hasAlternativeName, Kadayan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kadayan Context triple: [Kedayan language, hasAlternativeName, Kadayan]
-
A.
Kanyadaan
Kanyadaan is a critically acclaimed Marathi play by Vijay Tendulkar that explores caste, idealism, and the complexities of social reform through a turbulent inter-caste marriage.
-
B.
Karakays
Karakays are an ethnic community historically associated with the region of Gözleve (modern-day Yevpatoria) in Crimea.
-
C.
Kandas
Kandas is an Oceanic language of the Meso-Melanesian subgroup spoken in parts of Papua New Guinea.
-
D.
Kabale
Kabale is a town in southwestern Uganda that serves as a key regional center and gateway to nearby attractions such as Bwindi Impenetrable National Park.
-
E.
Ettuthokai
Ettuthokai is a classical Tamil anthology comprising eight collections of early Sangam poems that are central to ancient Tamil literature.
- 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: Kadayan Triple: [Kedayan language, hasAlternativeName, Kadayan]
Generated description
Kadayan is an alternative name for the Kedayan language, an Austronesian language spoken primarily in Brunei, Sabah, and parts of Sarawak.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kadayan Target entity description: Kadayan is an alternative name for the Kedayan language, an Austronesian language spoken primarily in Brunei, Sabah, and parts of Sarawak.
-
A.
Kanyadaan
Kanyadaan is a critically acclaimed Marathi play by Vijay Tendulkar that explores caste, idealism, and the complexities of social reform through a turbulent inter-caste marriage.
-
B.
Karakays
Karakays are an ethnic community historically associated with the region of Gözleve (modern-day Yevpatoria) in Crimea.
-
C.
Kandas
Kandas is an Oceanic language of the Meso-Melanesian subgroup spoken in parts of Papua New Guinea.
-
D.
Kabale
Kabale is a town in southwestern Uganda that serves as a key regional center and gateway to nearby attractions such as Bwindi Impenetrable National Park.
-
E.
Ettuthokai
Ettuthokai is a classical Tamil anthology comprising eight collections of early Sangam poems that are central to ancient Tamil literature.
- 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_69c008d201748190917e69c41ba3f978 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0651334c08190a9514faa36e7812d |
completed | March 22, 2026, 9:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c604154a1c8190b09e74cea2a18624 |
completed | March 27, 2026, 4:14 a.m. |
| NEDg | Description generation | batch_69c605be33b081908a88b14ffc9b7e45 |
completed | March 27, 2026, 4:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6063391c08190be94743c4c326805 |
completed | March 27, 2026, 4:23 a.m. |
Created at: March 22, 2026, 4:30 p.m.