Triple
T27362583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | del Valle |
E685866
|
entity |
| Predicate | componentPreposition |
P36968
|
FINISHED |
| Object | "del" |
—
|
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: "del" | Statement: [del Valle, componentPreposition, "del"]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: componentPreposition Context triple: [del Valle, componentPreposition, "del"]
-
A.
hasPreposition
Indicates that one entity is associated with or linked to another entity through a specific prepositional relationship.
-
B.
hasPrepositions
Indicates that one entity includes, uses, or is associated with one or more prepositions in relation to another entity.
-
C.
componentPosition
Indicates the spatial or logical placement of a component relative to a larger structure or system.
-
D.
componentTerm
Indicates that one term functions as a component or constituent part of another term within a larger conceptual or structural whole.
-
E.
hasPrepositionalPrefix
chosen
Indicates that one entity functions as a prepositional prefix attached to or modifying another 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_69ef14887c288190931b8431fdbf53c4 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f6aaf50be08190a2b62a6d881f8aee |
completed | May 3, 2026, 1:55 a.m. |
| PD | Predicate disambiguation | batch_69f6aa1c555081908787dbf76147f180 |
completed | May 3, 2026, 1:51 a.m. |
Created at: April 27, 2026, 11:54 a.m.