Triple
T25804429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Avery |
E649925
|
entity |
| Predicate | startsPilgrimageAt |
P121958
|
FINISHED |
| Object | Saint-Jean-Pied-de-Port |
—
|
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: Saint-Jean-Pied-de-Port | Statement: [Tom Avery, startsPilgrimageAt, Saint-Jean-Pied-de-Port]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startsPilgrimageAt Context triple: [Tom Avery, startsPilgrimageAt, Saint-Jean-Pied-de-Port]
-
A.
pilgrimageDate
Indicates the date on which a pilgrimage takes place or is scheduled to occur.
-
B.
pilgrimageSince
Indicates that an entity has been engaged in or committed to a pilgrimage starting from a specified point in time.
-
C.
pilgrimageStartingPoint
chosen
Indicates the location from which a pilgrimage journey is initiated or begins.
-
D.
precedesInPilgrimage
Indicates that one entity undertakes or occurs in the pilgrimage before another entity in an ordered sequence.
-
E.
precededOnPilgrimageBy
Indicates that one entity went on a pilgrimage earlier in time than another, such that the first entity’s pilgrimage occurred before the second’s.
- 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_69e7ab35d264819095367f7e80c983ff |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f6c49627908190b3553474c7c3072b |
completed | May 3, 2026, 3:44 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f23ae081909a52801266063a3c |
completed | May 3, 2026, 3:41 a.m. |
Created at: April 22, 2026, 7:01 a.m.