Triple
T6509403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hallgrímskirkja |
E150088
|
entity |
| Predicate | organNumberOfPipes |
P3426
|
FINISHED |
| Object | over 5000 pipes |
—
|
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: over 5000 pipes | Statement: [Hallgrímskirkja, organNumberOfPipes, over 5000 pipes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: organNumberOfPipes Context triple: [Hallgrímskirkja, organNumberOfPipes, over 5000 pipes]
-
A.
numberOfOrganPipes
chosen
Indicates the quantitative relationship specifying how many organ pipes are associated with a given organ or organ-related entity.
-
B.
numberOfTubes
Indicates the quantity of tubes associated with or contained by a given entity.
-
C.
numberOfPumps
Indicates the quantity of pumps associated with or required by an entity or system.
-
D.
numberOfNozzles
Indicates the quantity of nozzles associated with or present on a given entity.
-
E.
valveCount
Indicates the number of valves associated with an entity, such as a device, system, or component.
- 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_69c687ef291081909d437f035eef1cda |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c69f386aa08190bfc8592a92ec6339 |
completed | March 27, 2026, 3:16 p.m. |
| PD | Predicate disambiguation | batch_69c68ab714908190aa7c2fbf64078e15 |
completed | March 27, 2026, 1:48 p.m. |
Created at: March 27, 2026, 1:43 p.m.