Triple
T33514588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nivelles Abbey |
E858331
|
entity |
| Predicate | firstAbbess |
P206499
|
FINISHED |
| Object | Gertrude of Nivelles |
E1787920
|
NE 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: Gertrude of Nivelles | Statement: [Nivelles Abbey, firstAbbess, Gertrude of Nivelles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstAbbess Context triple: [Nivelles Abbey, firstAbbess, Gertrude of Nivelles]
-
A.
hasAbbess
Indicates that a religious community, convent, or abbey is led or overseen by a specific abbess.
-
B.
monarchDuringReignAsAbbess
Indicates that a specified monarch held the throne during the period when another individual was serving as an abbess.
-
C.
firstBishop
Indicates that one entity is the first bishop (earliest in time or rank) associated with or holding episcopal authority over another entity.
-
D.
oneOfFirstFemaleDoctorsOfTheChurch
Indicates that the subject is among the earliest women to be formally recognized with the title "Doctor of the Church" in Christian tradition.
-
E.
sisterMonastery
Indicates a formal sister-monastery relationship between two monastic institutions, typically involving mutual support, affiliation, or shared spiritual ties.
- F. None of above. chosen
Provenance (5 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_69f3497721848190978fbee5e0a526f8 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a037c9141dc819098d7fcc36e69882c |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3675faaa9c8190a593f7b0bd630bfc |
completed | June 20, 2026, 11:14 a.m. |
| PD | Predicate disambiguation | batch_6a0379f505c88190ac0879ab422c3054 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c7fb9f88190b384b1b68200aef0 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 1, 2026, 1:39 a.m.