Triple
T2954810
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Type 2 AC connector |
E79906
|
entity |
| Predicate | hasPinType |
P12912
|
FINISHED |
| Object | 3 power pins for three-phase 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: 3 power pins for three-phase AC | Statement: [Type 2 AC connector, hasPinType, 3 power pins for three-phase AC]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPinType Context triple: [Type 2 AC connector, hasPinType, 3 power pins for three-phase AC]
-
A.
hasPin
Indicates that one entity possesses, includes, or is equipped with a specific pin (such as a connector pin, security PIN, or fastening pin).
-
B.
hasPinCount
chosen
Indicates that an entity is associated with a specific number of pins.
-
C.
hasNumberOfPins
Indicates that an entity is associated with a specific count of pins it possesses or uses.
-
D.
hasPinCountDesignation
Indicates that an entity is assigned a specific designation describing the number of pins it has.
-
E.
hasPINCode
Indicates that an entity is associated with or assigned a specific personal identification number (PIN) code.
- 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_69ad8b1276588190a374a0b12e0f7bdf |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad98ff874c81908077a90fdc5e8549 |
completed | March 8, 2026, 3:42 p.m. |
| PD | Predicate disambiguation | batch_69ad960c5c8881909d679912bd7d78f3 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 2:57 p.m.