Triple
T28692759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Simeon of Trier |
E729329
|
entity |
| Predicate | deathPlaceInfluence |
P169590
|
FINISHED |
| Object | conversion of Porta Nigra into a church |
—
|
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: conversion of Porta Nigra into a church | Statement: [Simeon of Trier, deathPlaceInfluence, conversion of Porta Nigra into a church]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: deathPlaceInfluence Context triple: [Simeon of Trier, deathPlaceInfluence, conversion of Porta Nigra into a church]
-
A.
traditionalPlaceOfDeath
Indicates the location where a person is customarily or culturally considered to have died, according to traditional or historical accounts.
-
B.
placeOfDeath
Indicates the location where an entity (typically a person or animal) died.
-
C.
placeOfInfluence
Indicates the location or area where an entity exerts significant impact, authority, or cultural, social, or intellectual influence.
-
D.
placeOfApotheosis
Indicates the location where a being undergoes or has undergone apotheosis, i.e., is elevated to divine or godlike status.
-
E.
deathPlace_uncertain
Indicates that the place where an entity died is not known with certainty or is disputed.
- 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_69f043e60b6c8190ac2cd042e77fe6e9 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f67fc237608190b6542b56038a7fe4 |
completed | May 2, 2026, 10:50 p.m. |
| PD | Predicate disambiguation | batch_69f67e3ed894819094c067c1ef624951 |
completed | May 2, 2026, 10:44 p.m. |
| PDg | Predicate description generation | batch_69f67f0353c88190a05b2db449abe0f4 |
completed | May 2, 2026, 10:47 p.m. |
Created at: April 28, 2026, 5:37 a.m.