Triple
T3730623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crystal Cathedral |
E79051
|
entity |
| Predicate | organType |
P51318
|
FINISHED |
| Object | pipe organ |
—
|
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: pipe organ | Statement: [Crystal Cathedral, organType, pipe organ]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: organType Context triple: [Crystal Cathedral, organType, pipe organ]
-
A.
organ
Indicates that one entity is an organ (a functional body part) of another entity.
-
B.
organizationType
Indicates the specific category or classification of an organization in terms of its nature, structure, or primary function.
-
C.
mainOrganOf
Indicates that one entity is the primary or central organ responsible for the core functions of another entity (such as an organism or system).
-
D.
hasOrganSystem
Indicates that an entity possesses or is associated with a particular organ system as part of its biological structure or function.
-
E.
oreType
Indicates the specific kind or classification of ore associated with an entity.
- F. None of above. chosen
Provenance (4 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_69ad8b0e4650819090ad7cef094285e8 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcb1bb5408190990ea4dfbdab5c68 |
completed | March 8, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_69adc04746588190b0dc535638f23546 |
completed | March 8, 2026, 6:30 p.m. |
| PDg | Predicate description generation | batch_69adc45debe48190b1c1f894e02b0316 |
completed | March 8, 2026, 6:47 p.m. |
Created at: March 8, 2026, 3:34 p.m.