Triple
T18551453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bandung–Cicalengka railway |
E453388
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Rancaekek |
—
|
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: Rancaekek | Statement: [Bandung–Cicalengka railway, passesThrough, Rancaekek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rancaekek Context triple: [Bandung–Cicalengka railway, passesThrough, Rancaekek]
-
A.
Rancaekek
chosen
Rancaekek is a suburban district in West Java, Indonesia, known as a growing residential and industrial area on the eastern outskirts of Bandung.
-
B.
Carakan
Carakan is the traditional Javanese writing system used for the Javanese language and related regional languages of Indonesia.
-
C.
Warakurna
Warakurna is a remote Indigenous community in Western Australia, located within the Shire of Ngaanyatjarraku near the border with the Northern Territory.
-
D.
Cindau
Cindau is an alternative name for the Ndau language, a Bantu language spoken primarily in Mozambique and Zimbabwe.
-
E.
Dakaka
Dakaka is an Oceanic language spoken by a small community in Vanuatu.
- 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_69d8d388b0c881908e610a1c45b52640 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e538019a74819099dbd255fb21fa95 |
completed | April 19, 2026, 8:16 p.m. |
Created at: April 10, 2026, 11:38 a.m.