Triple
T8985504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sega Genesis Model 2 |
E214651
|
entity |
| Predicate | hasLogoPlacement |
P48677
|
FINISHED |
| Object | top surface |
—
|
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: top surface | Statement: [Sega Genesis Model 2, hasLogoPlacement, top surface]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLogoPlacement Context triple: [Sega Genesis Model 2, hasLogoPlacement, top surface]
-
A.
logoPlacement
chosen
Indicates the spatial or contextual position where a logo is displayed or applied in relation to another object, surface, or medium.
-
B.
hasLogoText
Indicates that an entity’s logo includes specific textual content or wording.
-
C.
hasSignage
Indicates that appropriate signs or visual markers are present to convey information, directions, warnings, or identification related to the associated entity.
-
D.
hasSignageIn
Indicates that appropriate signs or signage for an entity are present or installed within a specified location or area.
-
E.
hasSignageName
Indicates that an entity has a specific name or label as it appears on its physical signage.
- 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_69ca839f76bc8190a4b7123cdd682199 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc67eddbf08190afca16e0be435241 |
completed | April 1, 2026, 12:33 a.m. |
| PD | Predicate disambiguation | batch_69cc5edba0f88190b97401636a076d7a |
completed | March 31, 2026, 11:55 p.m. |
Created at: March 30, 2026, 7:03 p.m.