Triple
T36404573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RSP Architects Sdn Bhd |
E896715
|
entity |
| Predicate | roleInMerdeka118 |
P203474
|
FINISHED |
| Object | architect of record |
—
|
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: architect of record | Statement: [RSP Architects Sdn Bhd, roleInMerdeka118, architect of record]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInMerdeka118 Context triple: [RSP Architects Sdn Bhd, roleInMerdeka118, architect of record]
-
A.
roleInMalaysia
Indicates that an entity holds or has held a specific official or organizational role within the context of Malaysia.
-
B.
roleAtLuckyChap
Indicates that an entity holds or held a specific role or position at the organization LuckyChap.
-
C.
playsRoleForNusantara
Indicates that an entity serves or functions in a specific role on behalf of, or within the context of, Nusantara.
-
D.
hasWinnerInCategory Delight and Fun
Indicates that an entity has been recognized as a winner specifically in the "Delight and Fun" category.
-
E.
playRoleIn
Indicates that an entity participates in or performs a specific function, character, or part within an event, context, or system.
- F. None of above. chosen
Provenance (4 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_69f76e53b81081908d3b81860593f38a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a0189f3f0248190a1b018164d18e6f5 |
completed | May 11, 2026, 7:49 a.m. |
| PD | Predicate disambiguation | batch_6a0187ee0920819097047bb55e1f9506 |
completed | May 11, 2026, 7:40 a.m. |
| PDg | Predicate description generation | batch_6a0189f318c881909c4995203a58a097 |
completed | May 11, 2026, 7:49 a.m. |
Created at: May 3, 2026, 4:10 p.m.