Triple
T9484353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Perdana Putra |
E228720
|
entity |
| Predicate | viewing |
P17987
|
FINISHED |
| Object | commonly photographed from Dataran Putra |
—
|
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: commonly photographed from Dataran Putra | Statement: [Perdana Putra, viewing, commonly photographed from Dataran Putra]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: viewing Context triple: [Perdana Putra, viewing, commonly photographed from Dataran Putra]
-
A.
viewingIs
Indicates that one entity is engaged in the act or state of viewing, observing, or watching another entity.
-
B.
viewOver
chosen
Indicates that one entity has a visual perspective overlooking or facing another entity, typically providing a vantage point onto it.
-
C.
viewingMethod
Indicates the manner or technique by which something is observed, displayed, or visually accessed.
-
D.
viewedBy
Indicates that something has been seen, observed, or watched by a particular entity.
-
E.
vision
Indicates that an entity perceives another entity or object visually, using sight.
- 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_69ca84730a5081908de282651019bf2f |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd804e278c8190b1f869158075cd52 |
completed | April 1, 2026, 8:30 p.m. |
| PD | Predicate disambiguation | batch_69cca561e6b0819090aa795f3c3a2083 |
completed | April 1, 2026, 4:56 a.m. |
Created at: March 30, 2026, 7:55 p.m.