Triple
T12331223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mujeres riendo |
E293963
|
entity |
| Predicate | previousSupport |
P31898
|
FINISHED |
| Object | wall |
—
|
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: wall | Statement: [Mujeres riendo, previousSupport, wall]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousSupport Context triple: [Mujeres riendo, previousSupport, wall]
-
A.
previouslySupported
chosen
Indicates that an entity provided support to another entity at some time in the past, but not necessarily in the present.
-
B.
previousSponsor
Indicates that an entity formerly acted as a sponsor for another entity at some earlier time but no longer does so.
-
C.
previousMP
Indicates that one entity served as a Member of Parliament for a given constituency or position immediately before another specified entity.
-
D.
supportedAfter
Indicates that one entity provided support to another only after a specified event, time, or condition had occurred.
-
E.
previousOffice
Indicates that one office or position was held immediately before another in a sequence of offices.
- 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_69d6ab6ae0dc8190b1522a9c1c55c114 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f634ee08190b4f533505d402219 |
completed | April 10, 2026, 6:20 p.m. |
| PD | Predicate disambiguation | batch_69d93ec5be788190b82d2edc6a0f1095 |
completed | April 10, 2026, 6:17 p.m. |
Created at: April 8, 2026, 9:53 p.m.