Triple
T14991172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ArgoNeuT |
E373837
|
entity |
| Predicate | hasWirePlaneType |
P116256
|
FINISHED |
| Object | induction plane |
—
|
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: induction plane | Statement: [ArgoNeuT, hasWirePlaneType, induction plane]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWirePlaneType Context triple: [ArgoNeuT, hasWirePlaneType, induction plane]
-
A.
isTypicallyWiredUsing
Indicates that one thing is commonly connected or implemented using a particular type of wiring or cabling.
-
B.
hasWingConfiguration
Indicates how an entity’s wings are arranged, structured, or configured relative to its body or to each other.
-
C.
hasWallType
Indicates the specific kind or classification of wall associated with an entity.
-
D.
hasMaterialType
Indicates that something is composed of, made from, or characterized by a specific type of material.
-
E.
hasParticleType
Indicates that an entity is associated with, composed of, or characterized by a specific type or category of particle.
- F. None of above. chosen
Provenance (4 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_69d85ccc84388190aa151e5173370c8d |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded715db408190b44e8a8452c79764 |
completed | April 15, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69de9a6169b48190a679609febd2d0e3 |
completed | April 14, 2026, 7:49 p.m. |
| PDg | Predicate description generation | batch_69deb1a88d588190996afa8e5b32b552 |
completed | April 14, 2026, 9:29 p.m. |
Created at: April 10, 2026, 2:53 a.m.