Triple
T5418273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bandung metropolitan area |
E121183
|
entity |
| Predicate | containsSuburb |
P21902
|
FINISHED |
| Object |
Rancaekek
Rancaekek is a suburban district in West Java, Indonesia, known as a growing residential and industrial area on the eastern outskirts of Bandung.
|
E518375
|
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: Rancaekek | Statement: [Bandung metropolitan area, containsSuburb, Rancaekek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rancaekek Context triple: [Bandung metropolitan area, containsSuburb, Rancaekek]
-
A.
Carakan
Carakan is the traditional Javanese writing system used for the Javanese language and related regional languages of Indonesia.
-
B.
Rangat
Rangat is a coastal town and administrative hub located on Middle Andaman Island in the Andaman and Nicobar Islands, India.
-
C.
Renca
Renca is a commune and urban area in the Santiago Metropolitan Region of Chile, known for its residential neighborhoods and proximity to central Santiago.
-
D.
Kankia
Kankia is a town and local government area in northern Nigeria, known for its role as an administrative and commercial center within Katsina State.
-
E.
Sawanih
Sawanih is a notable literary work by the Indian poet Faizi, recognized for its contribution to classical Persian literature in South Asia.
- 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: Rancaekek Triple: [Bandung metropolitan area, containsSuburb, Rancaekek]
Generated description
Rancaekek is a suburban district in West Java, Indonesia, known as a growing residential and industrial area on the eastern outskirts of Bandung.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rancaekek Target entity description: Rancaekek is a suburban district in West Java, Indonesia, known as a growing residential and industrial area on the eastern outskirts of Bandung.
-
A.
Carakan
Carakan is the traditional Javanese writing system used for the Javanese language and related regional languages of Indonesia.
-
B.
Rangat
Rangat is a coastal town and administrative hub located on Middle Andaman Island in the Andaman and Nicobar Islands, India.
-
C.
Renca
Renca is a commune and urban area in the Santiago Metropolitan Region of Chile, known for its residential neighborhoods and proximity to central Santiago.
-
D.
Kankia
Kankia is a town and local government area in northern Nigeria, known for its role as an administrative and commercial center within Katsina State.
-
E.
Sawanih
Sawanih is a notable literary work by the Indian poet Faizi, recognized for its contribution to classical Persian literature in South Asia.
- 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_69bd463b58d88190b258261573de9e91 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd87e7ae388190b26d16d42e717023 |
completed | March 20, 2026, 5:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf3aadfa4c81908b57af80f534b121 |
completed | March 22, 2026, 12:41 a.m. |
| NEDg | Description generation | batch_69bf3b7f947c8190bc15d839488f393b |
completed | March 22, 2026, 12:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf3bfde6148190a2e7aa76bd5dce37 |
completed | March 22, 2026, 12:46 a.m. |
Created at: March 20, 2026, 2:05 p.m.