Triple
T24547053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Effelsberg 100-m Radio Telescope |
E607254
|
entity |
| Predicate | wasWorldsLargestFrom |
P52323
|
FINISHED |
| Object | 1972 |
—
|
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: 1972 | Statement: [Effelsberg 100-m Radio Telescope, wasWorldsLargestFrom, 1972]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasWorldsLargestFrom Context triple: [Effelsberg 100-m Radio Telescope, wasWorldsLargestFrom, 1972]
-
A.
heldWorldsLargestTitleUntil
Indicates that an entity held the distinction of being the world’s largest in a particular category up to a specified point in time.
-
B.
heldWorldsLargestTitleFrom
chosen
Indicates that an entity held the distinction of being the world’s largest in a particular category starting from a specified time.
-
C.
wasLargestOfItsType
Indicates that an entity held the greatest size, extent, or magnitude among all entities of the same type or category during a given time period.
-
D.
wouldHaveBeenLargest
Indicates that something would have been the largest among a set of entities or options under certain hypothetical or unrealized conditions.
-
E.
previouslyWorldsLongest
Indicates that an entity once held the record for being the longest in the world, but no longer does.
- 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_69e2c4c9bf94819082d05da6f5c29907 |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2a8caba8c819082c3bf33b6ff9cd0 |
completed | April 30, 2026, 12:56 a.m. |
| PD | Predicate disambiguation | batch_69f2a6b99e7c8190ba7e2dc8729a314a |
completed | April 30, 2026, 12:47 a.m. |
Created at: April 18, 2026, 2:27 a.m.