Triple
T22454816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trans Studio theme park chain |
E555087
|
entity |
| Predicate | operatesIn |
P82
|
FINISHED |
| Object | Cibubur |
—
|
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: Cibubur | Statement: [Trans Studio theme park chain, operatesIn, Cibubur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cibubur Context triple: [Trans Studio theme park chain, operatesIn, Cibubur]
-
A.
Cibubur
chosen
Cibubur is a suburban area on the eastern outskirts of Jakarta known for its residential complexes, recreational parks, and the large Cibubur camping ground.
-
B.
Cibungbulang
Cibungbulang is a district-level administrative area located within Bogor Regency in West Java, Indonesia.
-
C.
Cibadak
Cibadak is a town in Indonesia’s Banten Province, situated within Lebak Regency on the island of Java.
-
D.
Bulukumba
Bulukumba is a regency in South Sulawesi, Indonesia, known for its coastal landscapes, traditional boatbuilding, and Makassarese cultural heritage.
-
E.
Cisurupan
Cisurupan is a subdistrict in Garut Regency, West Java, Indonesia, known as a gateway area for visitors heading to Mount Papandayan.
- 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_69e11e5113208190ab58c6b595f9d1d0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15b4e2bd4819083e5bed44e9776c6 |
completed | April 29, 2026, 1:13 a.m. |
Created at: April 16, 2026, 8:48 p.m.