Triple
T13654843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palmyra New York Temple |
E326830
|
entity |
| Predicate | templeNumberInChurch |
P43478
|
FINISHED |
| Object | 77 |
—
|
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: 77 | Statement: [Palmyra New York Temple, templeNumberInChurch, 77]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: templeNumberInChurch Context triple: [Palmyra New York Temple, templeNumberInChurch, 77]
-
A.
hasTempleCount
chosen
Indicates that an entity is associated with a specified number of temples.
-
B.
hasNumberOfChurches
Indicates the relationship that specifies how many churches are associated with a given entity.
-
C.
religiousBuildingCount
Indicates the number of religious buildings associated with or present in a given context or entity.
-
D.
positionInTemple
Indicates the specific location or role an entity occupies within a temple.
-
E.
pilgrimageTempleCount
Indicates the number of temples associated with or visited during a particular pilgrimage.
- 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_69d8076d8270819092afc2f0e9c359a8 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc60ace048190a4b92310ba272bd1 |
completed | April 12, 2026, 4:19 p.m. |
| PD | Predicate disambiguation | batch_69dbbe8a027081908d8f884b89707a5e |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 9:52 p.m.