Triple
T7209582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PRASA |
E148764
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | PRASA |
E577525
|
NE 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: PRASA | Statement: [PRASA, abbreviation, PRASA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PRASA Context triple: [PRASA, abbreviation, PRASA]
-
A.
PRASA
PRASA is the public corporation responsible for providing water and wastewater services throughout Puerto Rico.
-
B.
PRASA
chosen
PRASA is South Africa’s state-owned passenger rail agency responsible for operating and managing most of the country’s commuter and long-distance passenger train services.
-
C.
KTM Komuter
KTM Komuter is a Malaysian commuter rail service operating in the Greater Kuala Lumpur area and surrounding regions, providing frequent, affordable suburban train connections.
-
D.
Jakarta BRT (TransJakarta)
Jakarta BRT (TransJakarta) is a bus rapid transit system in Indonesia’s capital that uses dedicated lanes and high-capacity buses to provide mass public transportation across the city.
-
E.
KRL Commuterline
KRL Commuterline is the electric commuter rail network serving the Greater Jakarta metropolitan area, providing mass transit for millions of daily passengers.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c687e8cf188190b5f3ecffd681f04e |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6e96c46dc819080a6b40456d7b068 |
completed | March 27, 2026, 8:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7bfc4e6688190ad9e0d31505e65af |
completed | March 28, 2026, 11:47 a.m. |
Created at: March 27, 2026, 2:52 p.m.