Triple
T304628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sundanese |
E6269
|
entity |
| Predicate | culturalRegionName |
P1968
|
FINISHED |
| Object | Tatar Sunda |
—
|
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: Tatar Sunda | Statement: [Sundanese, culturalRegionName, Tatar Sunda]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: culturalRegionName Context triple: [Sundanese, culturalRegionName, Tatar Sunda]
-
A.
culturalRegion
chosen
Indicates that an entity is located in, associated with, or belongs to a specific cultural region or cultural area.
-
B.
regionName
Indicates the name assigned to a specific geographic or administrative region.
-
C.
countryRegion
Indicates that a country is located within, or belongs to, a specific geographic or administrative region.
-
D.
demographicRegion
Indicates that an entity is associated with, belongs to, or is characterized by a particular geographic or administrative region for demographic purposes.
-
E.
nameDayRegion
Indicates the region or geographic area in which a particular name day is observed or recognized.
- 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_69a2e79230508190b912ecb555aae17e |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2ea1032e48190864338e030d9dc92 |
completed | Feb. 28, 2026, 1:13 p.m. |
| PD | Predicate disambiguation | batch_69a2e93db11881909b07ba5e76d91feb |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:06 p.m.