Triple
T14441314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Simplink |
E358087
|
entity |
| Predicate | typicalSettingLocation |
P21833
|
FINISHED |
| Object | TV settings menu |
—
|
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: TV settings menu | Statement: [Simplink, typicalSettingLocation, TV settings menu]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalSettingLocation Context triple: [Simplink, typicalSettingLocation, TV settings menu]
-
A.
placeOfSetting
Indicates the location or environment where an event, scene, or situation takes place.
-
B.
typicalUseLocation
chosen
Indicates the usual or most common location where an entity is used or operates.
-
C.
narrativeLocationType
Indicates the type or role of a location within the structure or context of a narrative (e.g., setting, origin, destination).
-
D.
typicalVenueSetting
Indicates the usual or characteristic type of venue or setting in which an event, activity, or interaction typically takes place.
-
E.
typicalGameLocation
Indicates the usual or characteristic place where a game is played or takes place.
- 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_69d8279402a88190821ffa39ae15bccf |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de914c1398819090fa2a74d257ba3e |
completed | April 14, 2026, 7:11 p.m. |
| PD | Predicate disambiguation | batch_69de5c3a02fc819097373f97a260cdeb |
completed | April 14, 2026, 3:24 p.m. |
Created at: April 10, 2026, 1:18 a.m.