Triple
T20568029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nusantara Building |
E505013
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Senayan
Senayan is a central district in Jakarta, Indonesia, known for its major government buildings, sports complexes, and commercial centers.
|
E1438351
|
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: Senayan | Statement: [Nusantara Building, locatedIn, Senayan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Senayan Context triple: [Nusantara Building, locatedIn, Senayan]
-
A.
Balai Besar
Balai Besar is a historic royal audience hall and ceremonial building located in Alor Setar, Kedah, Malaysia.
-
B.
Taman Ujung
Taman Ujung is a historic water palace and scenic royal garden complex in eastern Bali, Indonesia, known for its ornate pools, pavilions, and ocean views.
-
C.
Taman Kosas
Taman Kosas is a residential township located within the municipality of Ampang Jaya in Selangor, Malaysia.
-
D.
Sepilok
Sepilok is a forested area in Sabah, Malaysian Borneo, best known for its wildlife reserves and as a major ecotourism destination focused on orangutan conservation.
-
E.
Taman
Taman is a Nilo-Saharan language spoken by the Taman people in parts of Chad and Sudan.
- 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: Senayan Triple: [Nusantara Building, locatedIn, Senayan]
Generated description
Senayan is a central district in Jakarta, Indonesia, known for its major government buildings, sports complexes, and commercial centers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Senayan Target entity description: Senayan is a central district in Jakarta, Indonesia, known for its major government buildings, sports complexes, and commercial centers.
-
A.
Balai Besar
Balai Besar is a historic royal audience hall and ceremonial building located in Alor Setar, Kedah, Malaysia.
-
B.
Taman Ujung
Taman Ujung is a historic water palace and scenic royal garden complex in eastern Bali, Indonesia, known for its ornate pools, pavilions, and ocean views.
-
C.
Taman Kosas
Taman Kosas is a residential township located within the municipality of Ampang Jaya in Selangor, Malaysia.
-
D.
Sepilok
Sepilok is a forested area in Sabah, Malaysian Borneo, best known for its wildlife reserves and as a major ecotourism destination focused on orangutan conservation.
-
E.
Taman
Taman is a Nilo-Saharan language spoken by the Taman people in parts of Chad and Sudan.
- 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_69e0b4b6587c8190aee63dc7cff244ea |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a7a3fdc08190a34dcf4c4e51f078 |
completed | April 20, 2026, 10:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08acdffa2c8190a87c367eb068e2cf |
completed | May 16, 2026, 5:44 p.m. |
| NEDg | Description generation | batch_6a08ad96b2a081908d32e335c5265eec |
completed | May 16, 2026, 5:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08ae19eca08190ada48b48105be62d |
completed | May 16, 2026, 5:49 p.m. |
Created at: April 16, 2026, 11:39 a.m.