Triple
T7627410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Gede |
E172669
|
entity |
| Predicate | closestCity |
P1982
|
FINISHED |
| Object | Sukabumi |
E181808
|
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: Sukabumi | Statement: [Mount Gede, closestCity, Sukabumi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sukabumi Context triple: [Mount Gede, closestCity, Sukabumi]
-
A.
Sukabumi
chosen
Sukabumi is a city in southwestern West Java, Indonesia, known for its cool climate, surrounding highlands, and proximity to popular natural attractions.
-
B.
Sukabumi Regency
Sukabumi Regency is an administrative region in West Java, Indonesia, known for its coastal areas, mountainous landscapes, and proximity to major urban centers like Bogor.
-
C.
Brebes
Brebes is a regency and major urban center in the northwestern part of Central Java, Indonesia, known for its agriculture and salted egg production.
-
D.
Tasikmalaya
Tasikmalaya is a significant city in West Java, Indonesia, known as an important cultural and economic hub for the Sundanese people.
-
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_69c8fa25e4a881909af09d8cbe6852dd |
completed | March 29, 2026, 10:08 a.m. |
Created at: March 27, 2026, 3:56 p.m.