Triple
T11738508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maryknoll Sisters of St. Dominic |
E279091
|
entity |
| Predicate | canonicalRecognition |
P310
|
FINISHED |
| Object | 1920 |
—
|
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: 1920 | Statement: [Maryknoll Sisters of St. Dominic, canonicalRecognition, 1920]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canonicalRecognition Context triple: [Maryknoll Sisters of St. Dominic, canonicalRecognition, 1920]
-
A.
canRecognize
Indicates that one entity has the ability to identify or distinguish another entity based on its features or characteristics.
-
B.
recognizedFor
Indicates that one entity is acknowledged, credited, or honored for a particular achievement, quality, contribution, or work associated with another entity.
-
C.
recognizedAs
chosen
Indicates that one entity is acknowledged or accepted as having the identity, role, status, or classification of another entity.
-
D.
recognizedSee
Indicates that one entity sees another and consciously recognizes or identifies what is being seen.
-
E.
areRecognizedBy
Indicates that one entity acknowledges, identifies, or accepts another entity as valid, known, or legitimate.
- 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_69d6aaffec6881908bead509e8621742 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4ef1c4881909ad36dc27b1fe193 |
completed | April 10, 2026, 7:21 a.m. |
| PD | Predicate disambiguation | batch_69d88a7f51248190bf492bd7509b5413 |
completed | April 10, 2026, 5:28 a.m. |
Created at: April 8, 2026, 9:41 p.m.