Triple
T10687512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Philippine Austronesian languages |
E251916
|
entity |
| Predicate | typologicallyCharacterizedBy |
P24616
|
FINISHED |
| Object | predominantly verb-initial word order |
—
|
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: predominantly verb-initial word order | Statement: [Philippine Austronesian languages, typologicallyCharacterizedBy, predominantly verb-initial word order]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typologicallyCharacterizedBy Context triple: [Philippine Austronesian languages, typologicallyCharacterizedBy, predominantly verb-initial word order]
-
A.
characterizedBy
Indicates that one entity possesses a defining quality, feature, or attribute expressed by another entity.
-
B.
languageCharacterizedBy
chosen
Indicates that a language is defined or distinguished by a particular feature, property, or characteristic.
-
C.
typology
Indicates a classification relationship in which entities are grouped or organized according to shared types, patterns, or structural characteristics.
-
D.
linguisticType
Indicates the type or category of language or linguistic system associated with an entity (e.g., spoken, signed, written, or other linguistic modality).
-
E.
tonalCharacteristic
Indicates the specific quality or character of a sound’s tone, such as its color, texture, or expressive nuance, in relation to an entity.
- F. None of above.
Provenance (3 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_69d6aa5bd7c08190a816e733b4045c23 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fd19f0f481909eeaa75d17d9c060 |
completed | April 9, 2026, 1:12 a.m. |
| PD | Predicate disambiguation | batch_69d6dd8cc0788190b4c02a772e4b58b3 |
completed | April 8, 2026, 10:58 p.m. |
Created at: April 8, 2026, 9:10 p.m.