Triple
T11639205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Tabor Methodist Church property |
E276613
|
entity |
| Predicate | containsGraves |
P82834
|
FINISHED |
| Object | church members |
—
|
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: church members | Statement: [Mount Tabor Methodist Church property, containsGraves, church members]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsGraves Context triple: [Mount Tabor Methodist Church property, containsGraves, church members]
-
A.
hasGraves
chosen
Indicates that an entity possesses, contains, or is associated with one or more graves.
-
B.
hasGravesFrom
Indicates that a location or site contains graves originating from or associated with a specified source place or group.
-
C.
hasGraveInscription
Indicates that an entity (typically a grave or tomb) bears a specific inscription engraved or written on it.
-
D.
hasGraveMarkersMaterial
Indicates that the material composition of grave markers is a specified substance or type.
-
E.
hasTypeOfGrave
Indicates that an entity is associated with a specific kind or category of grave.
- 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_69d6aafa51148190ab84940694c00235 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a25e90c08190b7fb73939a2be3d7 |
completed | April 10, 2026, 7:10 a.m. |
| PD | Predicate disambiguation | batch_69d85dd94bdc819091fa2ed33eb31624 |
completed | April 10, 2026, 2:18 a.m. |
Created at: April 8, 2026, 9:39 p.m.