Triple
T31149997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Istana Bukit Timbalan |
E794045
|
entity |
| Predicate | localNameScript |
P63723
|
FINISHED |
| Object | Latin alphabet |
—
|
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: Latin alphabet | Statement: [Istana Bukit Timbalan, localNameScript, Latin alphabet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: localNameScript Context triple: [Istana Bukit Timbalan, localNameScript, Latin alphabet]
-
A.
nativeNameScript
chosen
Indicates the writing system or script in which an entity’s native name is expressed.
-
B.
modernLocalName
Indicates the current, locally used name or designation for an entity, as recognized in the present time.
-
C.
surnameScript
Indicates the writing system or script in which a person's surname is written.
-
D.
localLanguageName
Indicates the name of a language as it is written or referred to in its own local or native form.
-
E.
localNameDefinition
Indicates that an entity’s locally scoped name is defined or specified within a particular context or namespace.
- 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_69f224d41bb48190a5621cd1485e3a30 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6b49436b0819094e21603054d05d4 |
completed | May 3, 2026, 2:36 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a7bdb481908d16a32f49e38c2c |
completed | May 3, 2026, 2:32 a.m. |
Created at: April 29, 2026, 9:06 p.m.