Triple
T29524910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mora y Aragón |
E749039
|
entity |
| Predicate | hasParticulate |
P69656
|
FINISHED |
| Object | y |
—
|
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: y | Statement: [Mora y Aragón, hasParticulate, y]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasParticulate Context triple: [Mora y Aragón, hasParticulate, y]
-
A.
hasDust
Indicates that one entity possesses, contains, or is covered with dust.
-
B.
hasPart
Indicates that one entity is a component, segment, or constituent part of another entity.
-
C.
producesAerosol
Indicates that one entity generates or emits an aerosol (a suspension of fine solid particles or liquid droplets in air) as a result of its action or process.
-
D.
usedParticle
chosen
Indicates that one entity employs or applies a particular particle (e.g., subatomic, linguistic, or material) in some process, context, or construction involving another entity.
-
E.
hasPartIn
Indicates that an entity participates in or plays a role within a larger event, process, or composite entity.
- 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_69f0bd46d99c81908ba9d01cc1dbef7d |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69fd884cb2b48190b6acd473430d9e19 |
completed | May 8, 2026, 6:53 a.m. |
| PD | Predicate disambiguation | batch_69fd8709ca208190a8bab836f0156af5 |
completed | May 8, 2026, 6:47 a.m. |
Created at: April 28, 2026, 4:44 p.m.