Triple
T22145895
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pandeglang Regency |
E547286
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Carita |
—
|
NE NERFINISHED |
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: Carita | Statement: [Pandeglang Regency, contains, Carita]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carita Context triple: [Pandeglang Regency, contains, Carita]
-
A.
Carita
chosen
Carita is a coastal town and beach resort area on the western coast of Java, Indonesia, known for its seaside tourism and views toward the Sunda Strait.
-
B.
Mariental
Mariental is a town in central Namibia that serves as an important agricultural and transport hub in the Hardap Region.
-
C.
Gracia
Gracia is a feminine given name, commonly used in Spanish and other Romance languages, that derives from and shares the meaning of the name Grace.
-
D.
Carida
Carida is a prominent Imperial military academy world in the Star Wars universe, known for rigorously training stormtroopers and naval officers.
-
E.
Turnesa
Turnesa is the surname of a prominent American golfing family that produced several notable professional golfers in the early to mid-20th century.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e3a95d88190a3bd80d9471976c3 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f129f097248190a8a3cdff1593b5b5 |
completed | April 28, 2026, 9:43 p.m. |
Created at: April 16, 2026, 8:33 p.m.