Triple
T37311883
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kristang people |
E926222
|
entity |
| Predicate | heritageLanguageScript |
P16462
|
FINISHED |
| Object | Latin script |
—
|
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: Latin script | Statement: [Kristang people, heritageLanguageScript, Latin script]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: heritageLanguageScript Context triple: [Kristang people, heritageLanguageScript, Latin script]
-
A.
associatedLanguageScript
chosen
Indicates that there is a relationship between a language and the script or writing system used to represent it.
-
B.
nativeNameScript
Indicates the writing system or script in which an entity’s native name is expressed.
-
C.
heritageLanguage
Indicates that one entity is the ancestral or culturally inherited language associated with another entity.
-
D.
languageOfScriptPromoted
Indicates that a particular language is associated with and promoted through the use of a given writing script.
-
E.
inscriptionsLanguage
Indicates that the language used in the inscriptions on an object or surface is the specified language.
- 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_69f76eb28af88190b093b32e3fd614ab |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fd5f29b1988190877764ef2a399c7f |
completed | May 8, 2026, 3:57 a.m. |
| PD | Predicate disambiguation | batch_69fd5e30194c819085b5ce586122ab37 |
completed | May 8, 2026, 3:53 a.m. |
Created at: May 3, 2026, 4:16 p.m.