Triple
T3162215
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maître Maçon |
E66126
|
entity |
| Predicate | degreeNumber |
P46435
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [Maître Maçon, degreeNumber, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: degreeNumber Context triple: [Maître Maçon, degreeNumber, 3]
-
A.
degreeSystem
Indicates a relationship where an entity’s degree or qualification is defined, classified, or governed by a particular educational or grading system.
-
B.
typicalDegree
Indicates the usual or characteristic level, intensity, or extent to which something holds or applies in a given context.
-
C.
degreeAbbreviation
Indicates that one term is the abbreviated form of an academic degree represented by the other term.
-
D.
isDegreeOf
Indicates that one entity is an academic or professional degree held, pursued, or associated with another entity.
-
E.
hasDegreeLength
Indicates that something possesses a length measured in degrees, typically expressing angular extent or size.
- 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_69ad85850c1481908a9e9c6242238de2 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada618b9b88190afaa6d47dcad9f2c |
completed | March 8, 2026, 4:38 p.m. |
| PD | Predicate disambiguation | batch_69ad9dfe0a948190928f2201d671c654 |
completed | March 8, 2026, 4:04 p.m. |
| PDg | Predicate description generation | batch_69ada148e9108190b363dd0f1a94ac8e |
completed | March 8, 2026, 4:18 p.m. |
Created at: March 8, 2026, 3:06 p.m.