Triple
T6780493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tanah Kusir Cemetery |
E155667
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Bintaro area |
E595417
|
NE 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: Bintaro area | Statement: [Tanah Kusir Cemetery, locatedNear, Bintaro area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bintaro area Context triple: [Tanah Kusir Cemetery, locatedNear, Bintaro area]
-
A.
South Tangerang
chosen
South Tangerang is a rapidly developing satellite city in Indonesia’s Banten province, known as a residential and commercial hub within the Jakarta metropolitan area.
-
B.
Cipinang
Cipinang is a neighborhood in East Jakarta, Indonesia, known for housing one of the country’s main prisons and various urban residential and commercial areas.
-
C.
Betawi
Betawi is an Austronesian language spoken primarily by the Betawi people in and around Jakarta, Indonesia, and is closely associated with the city's urban culture and history.
-
D.
Cipatat
Cipatat is a district-level administrative area located within West Bandung Regency in West Java, Indonesia.
-
E.
Senayan, Jakarta
Senayan, Jakarta is a central district in Indonesia’s capital city known for its major government buildings, sports complex, and commercial centers.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c688162bf8819088b664b5c3b5be7a |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d26b32c0819093f86b1002260660 |
completed | March 27, 2026, 6:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c712d27a388190ab44e6e754019fca |
completed | March 27, 2026, 11:29 p.m. |
Created at: March 27, 2026, 2:14 p.m.