Triple
T24126615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fátima |
E597817
|
entity |
| Predicate | seer |
P154944
|
FINISHED |
| Object | Lúcia dos Santos |
—
|
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: Lúcia dos Santos | Statement: [Fátima, seer, Lúcia dos Santos]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seer Context triple: [Fátima, seer, Lúcia dos Santos]
-
A.
sees
Indicates that one entity visually perceives or observes another entity.
-
B.
seal
Indicates that an agent closes or fastens something so that it is securely shut and often airtight or watertight.
-
C.
seos
Indicates a search engine optimization (SEO) relationship, where one entity improves or influences the visibility, ranking, or discoverability of another in search results.
-
D.
seiMeans
Indicates that one entity serves as the meaning, definition, or semantic content of another entity.
-
E.
isSeeOf
Indicates that one entity serves as the episcopal or ecclesiastical seat (see) of another, typically a bishop or similar religious office.
- 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_69e288c808b881909fed7d18f04bcbbe |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1dee9086481909710c6d3291242c3 |
completed | April 29, 2026, 10:35 a.m. |
| PD | Predicate disambiguation | batch_69f1765650fc8190a6bc1eb512b240bf |
completed | April 29, 2026, 3:09 a.m. |
| PDg | Predicate description generation | batch_69f17c28b684819084eea522126463f8 |
completed | April 29, 2026, 3:34 a.m. |
Created at: April 17, 2026, 11:06 p.m.