Triple
T30497293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Church in Paris |
E776039
|
entity |
| Predicate | firstSanctuaryBuilt |
P203908
|
FINISHED |
| Object | 1857 |
—
|
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: 1857 | Statement: [American Church in Paris, firstSanctuaryBuilt, 1857]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstSanctuaryBuilt Context triple: [American Church in Paris, firstSanctuaryBuilt, 1857]
-
A.
firstChapelBuilt
Indicates that the subject is the location or entity where the first chapel was constructed or established.
-
B.
builtSanctuaryAt
Indicates that an entity constructed or established a sanctuary at a specific location.
-
C.
firstPalaceCompletedIn
Indicates the time or date when an entity’s first palace was completed.
-
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.
earliestConstructionAttributedTo
Indicates that one entity is recognized as the earliest known construction project or built work attributed to another entity (such as a person, group, or organization).
- 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_69f22498c5d481908aaea89e6fab8280 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a02efcb13248190a0bef09ba7869ada |
completed | May 12, 2026, 9:15 a.m. |
| PD | Predicate disambiguation | batch_6a024995e1d081908783ca294d1397c3 |
completed | May 11, 2026, 9:26 p.m. |
| PDg | Predicate description generation | batch_6a02efca70c48190b724c2a76a09cbfb |
completed | May 12, 2026, 9:15 a.m. |
Created at: April 29, 2026, 8:14 p.m.