Triple
T7102357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bogor Regency |
E165487
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Citeureup
Citeureup is a district in West Java, Indonesia, known as one of the industrial and residential areas within the Bogor metropolitan region.
|
E651996
|
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: Citeureup | Statement: [Bogor Regency, contains, Citeureup]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Citeureup Context triple: [Bogor Regency, contains, Citeureup]
-
A.
Pasuruan
Pasuruan is a city in East Java, Indonesia, known as a gateway to the popular Mount Bromo volcanic tourism area.
-
B.
Tuban
Tuban is a coastal town and regency capital in northern East Java, Indonesia, known historically as a trading port and for its cultural and religious heritage sites.
-
C.
Prabumulih
Prabumulih is a significant urban and economic center in Indonesia’s South Sumatra province, known particularly for its role in the regional oil and gas industry.
-
D.
Nganjuk
Nganjuk is a regency capital and regional urban center in the province of East Java, Indonesia.
-
E.
Jatibarang
Jatibarang is a town in West Java, Indonesia, situated near the Cimanuk River and known as a local agricultural and trading center.
- 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: Citeureup Triple: [Bogor Regency, contains, Citeureup]
Generated description
Citeureup is a district in West Java, Indonesia, known as one of the industrial and residential areas within the Bogor metropolitan region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Citeureup Target entity description: Citeureup is a district in West Java, Indonesia, known as one of the industrial and residential areas within the Bogor metropolitan region.
-
A.
Pasuruan
Pasuruan is a city in East Java, Indonesia, known as a gateway to the popular Mount Bromo volcanic tourism area.
-
B.
Tuban
Tuban is a coastal town and regency capital in northern East Java, Indonesia, known historically as a trading port and for its cultural and religious heritage sites.
-
C.
Prabumulih
Prabumulih is a significant urban and economic center in Indonesia’s South Sumatra province, known particularly for its role in the regional oil and gas industry.
-
D.
Nganjuk
Nganjuk is a regency capital and regional urban center in the province of East Java, Indonesia.
-
E.
Jatibarang
Jatibarang is a town in West Java, Indonesia, situated near the Cimanuk River and known as a local agricultural and trading center.
- 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_69c7d3759a2c81908535af2a749375ca |
completed | March 28, 2026, 1:11 p.m. |
| NEDg | Description generation | batch_69c7d44e67848190ac52eca99ef18f28 |
completed | March 28, 2026, 1:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7d4fc837c81909827352be19f64b4 |
completed | March 28, 2026, 1:17 p.m. |
Created at: March 27, 2026, 2:42 p.m.