Triple
T7102367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bogor Regency |
E165487
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Nanggung
Nanggung is a district (kecamatan) in Bogor Regency, West Java, Indonesia, known for its rural communities and proximity to hilly, plantation-rich landscapes.
|
E647971
|
NE FINISHED |
How this triple was built (4 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: Nanggung | Statement: [Bogor Regency, contains, Nanggung]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nanggung Context triple: [Bogor Regency, contains, Nanggung]
-
A.
Tanjungsari
Tanjungsari is a district-level administrative area located within Bogor Regency in West Java, Indonesia.
-
B.
Cibungbulang
Cibungbulang is a district-level administrative area located within Bogor Regency in West Java, Indonesia.
-
C.
Sindangkerta
Sindangkerta is a district-level area in West Java, Indonesia, situated within the administrative boundaries of West Bandung Regency.
-
D.
Linggajati
Linggajati is a village in West Java, Indonesia, historically significant as the site of key negotiations between Indonesian nationalists and the Dutch during the Indonesian National Revolution.
-
E.
Pangandaran
Pangandaran is a coastal regency in West Java, Indonesia, known for its beaches, tourism, and growing educational facilities.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Nanggung Triple: [Bogor Regency, contains, Nanggung]
Generated description
Nanggung is a district (kecamatan) in Bogor Regency, West Java, Indonesia, known for its rural communities and proximity to hilly, plantation-rich landscapes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nanggung Target entity description: Nanggung is a district (kecamatan) in Bogor Regency, West Java, Indonesia, known for its rural communities and proximity to hilly, plantation-rich landscapes.
-
A.
Tanjungsari
Tanjungsari is a district-level administrative area located within Bogor Regency in West Java, Indonesia.
-
B.
Cibungbulang
Cibungbulang is a district-level administrative area located within Bogor Regency in West Java, Indonesia.
-
C.
Sindangkerta
Sindangkerta is a district-level area in West Java, Indonesia, situated within the administrative boundaries of West Bandung Regency.
-
D.
Linggajati
Linggajati is a village in West Java, Indonesia, historically significant as the site of key negotiations between Indonesian nationalists and the Dutch during the Indonesian National Revolution.
-
E.
Pangandaran
Pangandaran is a coastal regency in West Java, Indonesia, known for its beaches, tourism, and growing educational facilities.
- F. None of above. chosen
Provenance (5 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_69c6887fcddc8190a5d58908f6dee590 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e588aee08190bfb3d96135c0a322 |
completed | March 27, 2026, 8:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7bf78eca48190bec0505fae70a048 |
completed | March 28, 2026, 11:46 a.m. |
| NEDg | Description generation | batch_69c7c002a91c81908756d224de6012c1 |
completed | March 28, 2026, 11:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7c05fd088819083df4c7167216ca2 |
completed | March 28, 2026, 11:49 a.m. |
Created at: March 27, 2026, 2:42 p.m.