Triple
T6786488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaidipang language |
E155817
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Kaidipang
Kaidipang is an Austronesian language spoken by the Kaidipang people in northern Sulawesi, Indonesia.
|
E619186
|
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: Kaidipang | Statement: [Kaidipang language, hasAlternativeName, Kaidipang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kaidipang Context triple: [Kaidipang language, hasAlternativeName, Kaidipang]
-
A.
Kutiyana
Kutiyana is a town in the Porbandar district of Gujarat, India, known historically as a local trading and administrative center.
-
B.
Kapooka
Kapooka is a locality near Wagga Wagga in New South Wales, Australia, best known as the site of a major Australian Army recruit training base.
-
C.
Napareuli
Napareuli is a Georgian wine appellation in the Kakheti region, known for producing high-quality wines, particularly from the Saperavi grape.
-
D.
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.
-
E.
Kipoi
Kipoi is a traditional stone-built village in the Zagori region of Epirus, northwestern Greece, known for its arched bridges and well-preserved architecture.
- 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: Kaidipang Triple: [Kaidipang language, hasAlternativeName, Kaidipang]
Generated description
Kaidipang is an Austronesian language spoken by the Kaidipang people in northern Sulawesi, Indonesia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kaidipang Target entity description: Kaidipang is an Austronesian language spoken by the Kaidipang people in northern Sulawesi, Indonesia.
-
A.
Kutiyana
Kutiyana is a town in the Porbandar district of Gujarat, India, known historically as a local trading and administrative center.
-
B.
Kapooka
Kapooka is a locality near Wagga Wagga in New South Wales, Australia, best known as the site of a major Australian Army recruit training base.
-
C.
Napareuli
Napareuli is a Georgian wine appellation in the Kakheti region, known for producing high-quality wines, particularly from the Saperavi grape.
-
D.
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.
-
E.
Kipoi
Kipoi is a traditional stone-built village in the Zagori region of Epirus, northwestern Greece, known for its arched bridges and well-preserved architecture.
- 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_69c6881770fc8190972b2906390380f5 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d28f043081909a9a9ab635785933 |
completed | March 27, 2026, 6:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c71a84c0c48190be87bff2da4e69a1 |
completed | March 28, 2026, 12:02 a.m. |
| NEDg | Description generation | batch_69c71b4c14fc8190bbe37473d48284ff |
completed | March 28, 2026, 12:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c71bc1d09881908496cddec4b6248a |
completed | March 28, 2026, 12:07 a.m. |
Created at: March 27, 2026, 2:14 p.m.