Triple
T29759048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Epiphany (Timket) in adapted evangelical form |
E753710
|
entity |
| Predicate | modifiesElementOf |
P167851
|
FINISHED |
| Object | veneration of tabot |
—
|
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: veneration of tabot | Statement: [Epiphany (Timket) in adapted evangelical form, modifiesElementOf, veneration of tabot]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: modifiesElementOf Context triple: [Epiphany (Timket) in adapted evangelical form, modifiesElementOf, veneration of tabot]
-
A.
setElement
Indicates that a particular element is included as a member of a specified set.
-
B.
leafModification
Indicates a relationship where an entity undergoes or causes a change in the structure, form, or characteristics of a leaf.
-
C.
modifiesMorphologyOf
Indicates that one entity alters or changes the morphological structure or form of another entity.
-
D.
modifiesBody
Indicates that one entity alters, changes, or affects the physical body or bodily state of another entity.
-
E.
retainsElementFrom
Indicates that one entity keeps or preserves an element that originates from another entity.
- 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_69f0ef827ff88190ade56e0b0846b713 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69f673cddb3881908c79b552d23521f3 |
completed | May 2, 2026, 9:59 p.m. |
| PD | Predicate disambiguation | batch_69f66ac1a4fc81909740d2e52fbe6970 |
completed | May 2, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69f66c59de9881909ebbb7b0ae7ab495 |
completed | May 2, 2026, 9:27 p.m. |
Created at: April 28, 2026, 8:30 p.m.