Triple
T26576187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Francisca Bazán de Laguna |
E666952
|
entity |
| Predicate | indirectlyAssociatedWith |
P146647
|
FINISHED |
| Object | Congress of Tucumán |
—
|
NE NERFINISHED |
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: Congress of Tucumán | Statement: [Francisca Bazán de Laguna, indirectlyAssociatedWith, Congress of Tucumán]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: indirectlyAssociatedWith Context triple: [Francisca Bazán de Laguna, indirectlyAssociatedWith, Congress of Tucumán]
-
A.
isAssociatedWith
Indicates that there exists a connection, relationship, or involvement between two entities without specifying its exact nature.
-
B.
indirectlyConnects
chosen
Indicates that one entity is connected to another through one or more intermediate entities or links, rather than by a direct connection.
-
C.
notStronglyAssociatedWith
Indicates that two entities have little to no meaningful or statistically significant relationship or connection with each other.
-
D.
associatedThrough
Indicates that two entities are connected or related to each other by means of a specified intermediary, context, or linkage.
-
E.
endedAssociationWith
Indicates that a previously existing association or relationship between two entities has been terminated or discontinued.
- 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_69ee9cfa21c081909e4e36e087debfc6 |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f614dd573c8190b5b26c7a41b737ec |
completed | May 2, 2026, 3:14 p.m. |
| PD | Predicate disambiguation | batch_69f602d7b1b0819095ddd3b5169f8ce2 |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 27, 2026, 2 a.m.