Triple
T26705586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Government Street Presbyterian Church |
E673279
|
entity |
| Predicate | hasTowerOrSteeple |
P8955
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Government Street Presbyterian Church, hasTowerOrSteeple, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTowerOrSteeple Context triple: [Government Street Presbyterian Church, hasTowerOrSteeple, true]
-
A.
hasDomeOrTower
Indicates that one entity possesses or features a dome or a tower as part of its structure.
-
B.
hasTower
chosen
Indicates that one entity possesses, contains, or is characterized by the presence of a tower.
-
C.
hasBellTower
Indicates that one entity (typically a building or structure) possesses or includes a bell tower as part of it.
-
D.
hasDomeOrSpire
Indicates that one entity possesses or features a dome or spire as part of its structure.
-
E.
hasTowerHeight
Indicates that an entity (such as a tower or structure) has a specific height value associated with it.
- 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_69eecda2b49c8190a6c481cfc4c07954 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f6a8df16a88190a23820e64a3b1f92 |
completed | May 3, 2026, 1:46 a.m. |
| PD | Predicate disambiguation | batch_69f6a751d5e48190a77dcecbe7ef9f0b |
completed | May 3, 2026, 1:39 a.m. |
Created at: April 27, 2026, 3:33 a.m.