Triple
T37768997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PCH-2000 |
E941489
|
entity |
| Predicate | predecessorDisplayType |
P9737
|
FINISHED |
| Object | OLED |
—
|
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: OLED | Statement: [PCH-2000, predecessorDisplayType, OLED]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: predecessorDisplayType Context triple: [PCH-2000, predecessorDisplayType, OLED]
-
A.
predecessorFormat
Indicates that one entity is the earlier or prior version in a sequence or lineage relative to another entity.
-
B.
predecessorMode
Indicates that one mode or state directly precedes another in a defined sequence or process.
-
C.
predecessorSystemType
chosen
Indicates that one system type functioned as the predecessor or earlier version to another system type.
-
D.
predecessorStatus
Indicates that one entity’s status is determined by, or directly follows from, the status of a preceding entity in a sequence or process.
-
E.
predecessorRegimeType
Indicates the type of political regime that immediately governed before the current one.
- 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_69f76ee3251881909bb4451aad50752b |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fe6fea4a288190bf8615c5d6bf41b4 |
completed | May 8, 2026, 11:21 p.m. |
| PD | Predicate disambiguation | batch_69fe6f774de08190975a2393b9a1fd22 |
completed | May 8, 2026, 11:19 p.m. |
Created at: May 3, 2026, 4:19 p.m.