Triple
T7627406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Gede |
E172669
|
entity |
| Predicate | hasTrailhead |
P3625
|
FINISHED |
| Object | Cibodas |
E647860
|
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: Cibodas | Statement: [Mount Gede, hasTrailhead, Cibodas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cibodas Context triple: [Mount Gede, hasTrailhead, Cibodas]
-
A.
Cibodas area
chosen
Cibodas area is a popular highland region on the slopes of Mount Gede in West Java, Indonesia, known for its cool climate, botanical gardens, and access to forest and mountain trails.
-
B.
Padalarang
Padalarang is a suburban district in West Java, Indonesia, situated on the western outskirts of Bandung and known for its residential areas, limestone hills, and growing industrial activity.
-
C.
Cibinong
Cibinong is an urban district in West Java, Indonesia, serving as an administrative and commercial hub within the Greater Jakarta metropolitan area.
-
D.
Pasai
Pasai was a historic port city in northern Sumatra that served as an early center of Islamic trade and culture in Southeast Asia.
-
E.
Cimahi
Cimahi is an urban city in Indonesia located near Bandung in the province of West Java, known historically as a military and training center.
- 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_69c699517e348190bd3348b6889200f2 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6fa8150ac8190908aec411b0f4e50 |
completed | March 27, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c870aa0b048190afe78ce262834f22 |
completed | March 29, 2026, 12:22 a.m. |
Created at: March 27, 2026, 3:56 p.m.