Triple
T8653575
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Temple of Hephaestus |
E205156
|
entity |
| Predicate | usedAsChurchFrom |
P84150
|
FINISHED |
| Object | 7th century AD |
—
|
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: 7th century AD | Statement: [Temple of Hephaestus, usedAsChurchFrom, 7th century AD]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedAsChurchFrom Context triple: [Temple of Hephaestus, usedAsChurchFrom, 7th century AD]
-
A.
wasCityChurchOf
Indicates that a given church functioned as the principal or designated city church for a particular city.
-
B.
formerCathedral
Indicates that a building once held the status and function of a cathedral but no longer does.
-
C.
hasChurch
Indicates that a place or entity possesses, contains, or is associated with a church.
-
D.
originalChurchBuilt
Indicates that a particular church building was initially constructed at a given time or by a specified agent, before any later reconstructions or modifications.
-
E.
wasAmongLargestChurchesIn
Indicates that a church ranked among the largest churches within a specified place or region.
- 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_69ca834e56848190abb0eeaec9dedd32 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc484206d881908017897dada63124 |
completed | March 31, 2026, 10:18 p.m. |
| PD | Predicate disambiguation | batch_69cc45619460819091e83ffdec99c865 |
completed | March 31, 2026, 10:06 p.m. |
| PDg | Predicate description generation | batch_69cc473e44988190a3b02498e5fff668 |
completed | March 31, 2026, 10:14 p.m. |
Created at: March 30, 2026, 6:29 p.m.