Triple
T13503491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St. Philomena’s Cathedral |
E320949
|
entity |
| Predicate | heightOfSpires |
P1730
|
FINISHED |
| Object | about 53 meters |
—
|
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: about 53 meters | Statement: [St. Philomena’s Cathedral, heightOfSpires, about 53 meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: heightOfSpires Context triple: [St. Philomena’s Cathedral, heightOfSpires, about 53 meters]
-
A.
spires
Indicates that one entity rises or tapers upward in a tall, pointed, tower-like form from another entity.
-
B.
buildingHeight
Indicates the vertical extent or height measurement of a building.
-
C.
buildingHeightContext
Indicates the contextual or situational factors under which a building’s height is defined, measured, or interpreted.
-
D.
buildingHeightCharacteristic
Indicates the specific height-related property or measurement that characterizes a building.
-
E.
antennaSpireHeight
chosen
Indicates the vertical measurement of an object's antenna or spire from its base to its highest point.
- 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_69d807629d6c8190998f1b9bb12d2ed0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaf810e248190a060481004503f96 |
completed | April 12, 2026, 2:43 p.m. |
| PD | Predicate disambiguation | batch_69dbae0b63748190b5e207f84b2532ea |
completed | April 12, 2026, 2:36 p.m. |
Created at: April 9, 2026, 9:43 p.m.