Triple
T3739844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Type 1 AC connector |
E79671
|
entity |
| Predicate | currentType |
P8870
|
FINISHED |
| Object | AC |
—
|
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: AC | Statement: [Type 1 AC connector, currentType, AC]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currentType Context triple: [Type 1 AC connector, currentType, AC]
-
A.
hasCurrentType
chosen
Indicates that an entity currently possesses or is classified under a specific type or category, as opposed to past or potential types.
-
B.
currentClassification
Indicates the present category or status that has been assigned to an entity at this point in time.
-
C.
currentSystem
Indicates that an entity is the system or configuration that is presently active or in use.
-
D.
currentText
Indicates that the referenced text is the one presently in effect, use, or display, as opposed to past or alternative versions.
-
E.
viewType
Indicates the specific manner or format in which something is displayed, presented, or visually arranged.
- 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_69ad8b115610819095b02007da5ca3cb |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcb5344fc8190b183aca5c04e3bcc |
completed | March 8, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_69adc048f28c819092bed16a95a3cac1 |
completed | March 8, 2026, 6:30 p.m. |
Created at: March 8, 2026, 3:34 p.m.