Triple
T27353289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peak Tower |
E685618
|
entity |
| Predicate | dayView |
P162219
|
FINISHED |
| Object | panoramic skyline of Hong Kong |
—
|
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: panoramic skyline of Hong Kong | Statement: [Peak Tower, dayView, panoramic skyline of Hong Kong]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dayView Context triple: [Peak Tower, dayView, panoramic skyline of Hong Kong]
-
A.
dayDepicted
Indicates that a specific day or date is visually or otherwise represented in the subject entity.
-
B.
dayType
Indicates the classification or category of a given day based on its characteristics or role (e.g., weekday, weekend, holiday).
-
C.
dayUse
Indicates that something is intended or permitted to be used during the daytime.
-
D.
dayOfMonth
Indicates the specific calendar day number within a given month on which something occurs or is associated.
-
E.
dayName
Indicates the specific name of the day of the week associated with a given date or time.
- 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_69ef14887c288190931b8431fdbf53c4 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f62c1b91e881908798e4f00723efcb |
completed | May 2, 2026, 4:53 p.m. |
| PD | Predicate disambiguation | batch_69f620e4b1c88190a17940251abc68fd |
completed | May 2, 2026, 4:05 p.m. |
| PDg | Predicate description generation | batch_69f621fbfc2c8190bfa802d7dc0f6aa4 |
completed | May 2, 2026, 4:10 p.m. |
Created at: April 27, 2026, 11:49 a.m.