Triple
T6244022
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kankanaey language |
E139670
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Kankanay
Kankanay is an Austronesian language spoken by the Kankanaey people of the northern Philippines, particularly in the Cordillera region of Luzon.
|
E581931
|
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: Kankanay | Statement: [Kankanaey language, hasAlternativeName, Kankanay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kankanay Context triple: [Kankanaey language, hasAlternativeName, Kankanay]
-
A.
Kandas
Kandas is an Oceanic language of the Meso-Melanesian subgroup spoken in parts of Papua New Guinea.
-
B.
Kandan
Kandan is a locality within Beijing’s Fengtai District, known primarily as a residential and urban neighborhood area.
-
C.
Kagawong
Kagawong is a small picturesque community on Manitoulin Island in Ontario, Canada, known for its scenic Bridal Veil Falls and lakeside charm.
-
D.
Kitchawan
Kitchawan is a small hamlet within the town of Yorktown in Westchester County, New York, known for its residential character and proximity to natural areas.
-
E.
Kapyong
Kapyong is a Korean War battlefield in South Korea renowned for a pivotal 1951 engagement in which outnumbered UN forces, including Canadian troops, halted a major Chinese offensive.
- 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: Kankanay Triple: [Kankanaey language, hasAlternativeName, Kankanay]
Generated description
Kankanay is an Austronesian language spoken by the Kankanaey people of the northern Philippines, particularly in the Cordillera region of Luzon.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kankanay Target entity description: Kankanay is an Austronesian language spoken by the Kankanaey people of the northern Philippines, particularly in the Cordillera region of Luzon.
-
A.
Kandas
Kandas is an Oceanic language of the Meso-Melanesian subgroup spoken in parts of Papua New Guinea.
-
B.
Kandan
Kandan is a locality within Beijing’s Fengtai District, known primarily as a residential and urban neighborhood area.
-
C.
Kagawong
Kagawong is a small picturesque community on Manitoulin Island in Ontario, Canada, known for its scenic Bridal Veil Falls and lakeside charm.
-
D.
Kitchawan
Kitchawan is a small hamlet within the town of Yorktown in Westchester County, New York, known for its residential character and proximity to natural areas.
-
E.
Kapyong
Kapyong is a Korean War battlefield in South Korea renowned for a pivotal 1951 engagement in which outnumbered UN forces, including Canadian troops, halted a major Chinese offensive.
- 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_69c008b1c5088190ae6de2555fc05ad8 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0631b32308190a8211043d1caa6e6 |
completed | March 22, 2026, 9:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5191599d0819098a1b20b9d680f4b |
completed | March 26, 2026, 11:31 a.m. |
| NEDg | Description generation | batch_69c51cdb2f10819096c9651fd897709a |
completed | March 26, 2026, 11:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c522ca4c4081908a07e5d439c0a3c0 |
completed | March 26, 2026, 12:12 p.m. |
Created at: March 22, 2026, 4:23 p.m.