Triple
T11860454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SITE Town |
E282143
|
entity |
| Predicate | hasNeighbourhood |
P4813
|
FINISHED |
| Object |
Nai Abadi
Nai Abadi is a residential neighborhood located within the town of SITE.
|
E951598
|
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: Nai Abadi | Statement: [SITE Town, hasNeighbourhood, Nai Abadi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nai Abadi Context triple: [SITE Town, hasNeighbourhood, Nai Abadi]
-
A.
Kelapa Gading
Kelapa Gading is a prominent residential and commercial district in North Jakarta known for its shopping malls, dining scene, and planned urban layout.
-
B.
Betawi
Betawi is an Austronesian language spoken primarily by the Betawi people in and around Jakarta, Indonesia, and is closely associated with the city's urban culture and history.
-
C.
Bayan Lepas
Bayan Lepas is a township in the southwestern part of Penang Island, Malaysia, known for its industrial zone, residential areas, and role as a key transportation and commercial hub.
-
D.
Menteng
Menteng is a historic, upscale central district in Jakarta, Indonesia, known for its colonial-era residential architecture and political significance.
-
E.
Cipinang
Cipinang is a neighborhood in East Jakarta, Indonesia, known for housing one of the country’s main prisons and various urban residential and commercial areas.
- 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: Nai Abadi Triple: [SITE Town, hasNeighbourhood, Nai Abadi]
Generated description
Nai Abadi is a residential neighborhood located within the town of SITE.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nai Abadi Target entity description: Nai Abadi is a residential neighborhood located within the town of SITE.
-
A.
Kelapa Gading
Kelapa Gading is a prominent residential and commercial district in North Jakarta known for its shopping malls, dining scene, and planned urban layout.
-
B.
Betawi
Betawi is an Austronesian language spoken primarily by the Betawi people in and around Jakarta, Indonesia, and is closely associated with the city's urban culture and history.
-
C.
Bayan Lepas
Bayan Lepas is a township in the southwestern part of Penang Island, Malaysia, known for its industrial zone, residential areas, and role as a key transportation and commercial hub.
-
D.
Menteng
Menteng is a historic, upscale central district in Jakarta, Indonesia, known for its colonial-era residential architecture and political significance.
-
E.
Cipinang
Cipinang is a neighborhood in East Jakarta, Indonesia, known for housing one of the country’s main prisons and various urban residential and commercial areas.
- 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_69d6ab287ba48190a5178779fd19b9b7 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a69a099c8190a674db64c50eca5a |
completed | April 10, 2026, 7:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f281745ca88190968e1f674d0e483c |
completed | April 29, 2026, 10:08 p.m. |
| NEDg | Description generation | batch_69f28a8e64ac8190ba7637fd00e024bd |
completed | April 29, 2026, 10:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f28d4e341c8190abc8febc3b26a617 |
completed | April 29, 2026, 10:59 p.m. |
Created at: April 8, 2026, 9:43 p.m.