Triple
T1877760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pasundan |
E39182
|
entity |
| Predicate | associatedCity |
P3207
|
FINISHED |
| Object | Garut |
E40449
|
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: Garut | Statement: [Pasundan, associatedCity, Garut]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Garut Context triple: [Pasundan, associatedCity, Garut]
-
A.
Garut
chosen
Garut is a regency and town in West Java, Indonesia, known for its Sundanese culture, cool highland climate, and agricultural products such as vegetables and sheep.
-
B.
Sukabumi
Sukabumi is a city in southwestern West Java, Indonesia, known for its cool climate, surrounding highlands, and proximity to popular natural attractions.
-
C.
Tasikmalaya
Tasikmalaya is a significant city in West Java, Indonesia, known as an important cultural and economic hub for the Sundanese people.
-
D.
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.
-
E.
Bogor Regency
Bogor Regency is an administrative region in West Java, Indonesia, that encircles the city of Bogor and is known for its rapidly growing suburban and rural communities.
- 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_69a8862f7074819096afe7fe65e179e9 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb0f79fbc819085c54f3189a552d9 |
completed | March 7, 2026, 5 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae0abe93f88190869b17557098ebbe |
completed | March 8, 2026, 11:48 p.m. |
Created at: March 4, 2026, 7:34 p.m.