Triple
T26686008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North–South Expressway network |
E672745
|
entity |
| Predicate | officialNameInMalay |
P33340
|
FINISHED |
| Object | Rangkaian Lebuhraya Utara–Selatan |
—
|
NE NERFINISHED |
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: Rangkaian Lebuhraya Utara–Selatan | Statement: [North–South Expressway network, officialNameInMalay, Rangkaian Lebuhraya Utara–Selatan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officialNameInMalay Context triple: [North–South Expressway network, officialNameInMalay, Rangkaian Lebuhraya Utara–Selatan]
-
A.
officialNameMalay
chosen
Indicates the name officially used for something in the Malay language.
-
B.
officialNameLocal
Indicates the officially recognized name of an entity as used in the local or native language context.
-
C.
officialName
Indicates the formally recognized name assigned to an entity by an authoritative body or source.
-
D.
recognizedAsMalayState
Indicates that an entity is officially acknowledged or designated as a Malay state.
-
E.
hasMalayName
Indicates that an entity is associated with a specific name expressed in the Malay language.
- 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_69eecda2066c8190a344218afa5e89c1 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f7b2f3a104819098ddd8909eaf596c |
completed | May 3, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69f7b1b8a9fc8190a1279e67a2d12707 |
completed | May 3, 2026, 8:36 p.m. |
Created at: April 27, 2026, 3:23 a.m.