Triple
T7649885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schwartz Church |
E173220
|
entity |
| Predicate | oneOfTheOldestChurchesIn |
P58759
|
FINISHED |
| Object | Thanjavur region |
—
|
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: Thanjavur region | Statement: [Schwartz Church, oneOfTheOldestChurchesIn, Thanjavur region]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oneOfTheOldestChurchesIn Context triple: [Schwartz Church, oneOfTheOldestChurchesIn, Thanjavur region]
-
A.
isOldestSurvivingChurchIn
Indicates that a church is the most ancient one still standing within a specified location or region.
-
B.
oneOfOldestDiocesesIn
Indicates that an entity is among the oldest dioceses located within a specified region or jurisdiction.
-
C.
oneOfTheOldestOn
chosen
Indicates that one entity is among the earliest or longest-existing examples within the set defined by another entity.
-
D.
oneOfOldestTemplesIn
Indicates that a temple is among the oldest temples located within a specified place or region.
-
E.
wasAmongLargestChurchesIn
Indicates that a church ranked among the largest churches within a specified place or region.
- 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_69c6995473348190a4f41d110d619a18 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7061cbc3c8190a917dd7e71214182 |
completed | March 27, 2026, 10:35 p.m. |
| PD | Predicate disambiguation | batch_69c7015dd8fc8190bc5f52a12bd46209 |
completed | March 27, 2026, 10:14 p.m. |
Created at: March 27, 2026, 3:58 p.m.