Triple
T28092074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Twin Pines Mall |
E709980
|
entity |
| Predicate | hasClockTimeOnSign |
P79788
|
FINISHED |
| Object | 1:16 A.M. |
—
|
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: 1:16 A.M. | Statement: [Twin Pines Mall, hasClockTimeOnSign, 1:16 A.M.]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasClockTimeOnSign Context triple: [Twin Pines Mall, hasClockTimeOnSign, 1:16 A.M.]
-
A.
hasClockFigures
Indicates that an object features or includes figures or representations that are part of a clock.
-
B.
hasClock
Indicates that one entity possesses, contains, or is equipped with a clock.
-
C.
hasTimeIndication
chosen
Indicates that something includes, specifies, or is associated with a particular time-related indication (such as a timestamp, time period, or temporal marker).
-
D.
hasClockFaces
Indicates that an object is equipped with one or more clock faces.
-
E.
usesClockSystem
Indicates that one entity employs or operates according to the clock or timekeeping system defined or provided by another entity.
- 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_69ef9b70fd108190a875953b2e50ca91 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69f71422adac8190a5ceb32dcf820833 |
completed | May 3, 2026, 9:23 a.m. |
| PD | Predicate disambiguation | batch_69f712764d2c819081b64b27e5de4a13 |
completed | May 3, 2026, 9:16 a.m. |
Created at: April 27, 2026, 8:59 p.m.