Triple
T25052598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Papuan (non‑Austronesian) languages |
E627424
|
entity |
| Predicate | majoritySpokenOn |
P165293
|
FINISHED |
| Object | island of New Guinea |
—
|
LITERAL FINISHED |
How this triple was built (2 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: island of New Guinea | Statement: [Papuan (non‑Austronesian) languages, majoritySpokenOn, island of New Guinea]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majoritySpokenOn Context triple: [Papuan (non‑Austronesian) languages, majoritySpokenOn, island of New Guinea]
-
A.
majorityLanguageOf
Indicates that a given language is the primary or most widely spoken language within a specified group, region, or entity.
-
B.
hasOfficialLanguageMajority
Indicates that a specified language is spoken by the majority of the population within a given political or geographic entity.
-
C.
majorityCountry
Indicates that a given country is the one in which the majority of a specified group, population, or instances are located or occur.
-
D.
majorityBilingualWith
Indicates that the majority of individuals in a given group or population are bilingual in the two specified languages or language groups.
-
E.
hasHighProportionOfSpeakersOf
Indicates that a subject entity has a relatively large share of its population or members who speak a specified language.
- F. None of above. chosen
Provenance (4 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_69e2ff2c45f48190afa28369f1df6786 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f658a91ba0819084fbe3dd8a09f7cd |
completed | May 2, 2026, 8:03 p.m. |
| PD | Predicate disambiguation | batch_69f6575ba12081909396036f78757a76 |
completed | May 2, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69f657f2c8b08190bfeb3173ef78207d |
completed | May 2, 2026, 8 p.m. |
Created at: April 18, 2026, 6:09 a.m.