Triple
T6549510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pegangsaan Timur 56 |
E151094
|
entity |
| Predicate | currentStreetName |
P5943
|
FINISHED |
| Object | Jalan Proklamasi |
—
|
LITERAL FINISHED |
How this triple was built (2 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: Jalan Proklamasi | Statement: [Pegangsaan Timur 56, currentStreetName, Jalan Proklamasi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currentStreetName Context triple: [Pegangsaan Timur 56, currentStreetName, Jalan Proklamasi]
-
A.
roadName
chosen
Indicates the specific name assigned to a road that identifies it within a transportation or address system.
-
B.
isNumberedStreet
Indicates that a street is designated primarily by a number (e.g., "1st Street," "42nd Avenue") rather than by a proper name.
-
C.
hasStreet
Indicates that an entity is located on, associated with, or identified by a particular street.
-
D.
hasNearbyStreet
Indicates that one entity is located close to or adjacent to a street.
-
E.
isNumberedAvenueOf
Indicates that one entity is an avenue identified by a numerical designation that belongs to or is part of the other entity (such as a city or road network).
- F. None of above.
Provenance (3 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_69c687f3fd60819083bfa583e5bcfa71 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6ce07332481909a5a7964282eb776 |
completed | March 27, 2026, 6:35 p.m. |
| PD | Predicate disambiguation | batch_69c6acf3e3708190b052ec774e607cb7 |
completed | March 27, 2026, 4:14 p.m. |
Created at: March 27, 2026, 1:51 p.m.