Triple
T27616384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Temples of The Church of Jesus Christ of Latter-day Saints |
E700447
|
entity |
| Predicate | earliestExample |
P52040
|
FINISHED |
| Object | Kirtland Temple |
—
|
NE NERFINISHED |
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: Kirtland Temple | Statement: [Temples of The Church of Jesus Christ of Latter-day Saints, earliestExample, Kirtland Temple]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: earliestExample Context triple: [Temples of The Church of Jesus Christ of Latter-day Saints, earliestExample, Kirtland Temple]
-
A.
earliestWellKnownExample
chosen
Indicates that one entity is the earliest well-known example or instance of the other entity.
-
B.
earlyVersion
Indicates that one entity is an earlier or preliminary version of another entity in a version sequence.
-
C.
earliestKnownPeriod
Indicates the earliest historical or temporal period in which the subject is known or documented to have existed, occurred, or been relevant.
-
D.
firstDemonstrated
Indicates that one entity was the earliest to show, prove, or exemplify a particular concept, method, or capability in relation to another entity or context.
-
E.
oneOfTheOldestOn
Indicates that one entity is among the earliest or longest-existing examples within the set defined by another entity.
- 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_69ef6a4f1d9c8190b0705acda054368d |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f676c440708190a4b9974e95d2291a |
completed | May 2, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69f675fd59608190b246383435e68fce |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 27, 2026, 2:12 p.m.