Triple
T63268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Multidisciplinary University Research Initiative |
E1256
|
entity |
| Predicate | scale |
P1937
|
FINISHED |
| Object | large-scale |
—
|
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: large-scale | Statement: [Multidisciplinary University Research Initiative, scale, large-scale]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scale Context triple: [Multidisciplinary University Research Initiative, scale, large-scale]
-
A.
magnitudeScale
Indicates the scale or measurement system used to quantify the magnitude or intensity of something.
-
B.
magnitude
chosen
Indicates a relationship where a quantitative size, extent, or intensity is assigned to or compared between entities or values.
-
C.
shape
Indicates that one entity has a particular geometric or physical form characterized by the other entity.
-
D.
volume
Indicates the amount of three-dimensional space an entity occupies or contains.
-
E.
weight
Indicates a relationship where a numerical value quantifies how heavy an entity is, often used to measure or compare mass or load.
- 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_69a24ba4f760819081f6638a3c70538a |
completed | Feb. 28, 2026, 1:57 a.m. |
| NER | Named-entity recognition | batch_69a24fd16c248190a6ee4cd96c388772 |
completed | Feb. 28, 2026, 2:15 a.m. |
| PD | Predicate disambiguation | batch_69a24ea3c44081908fa3856969881d1f |
completed | Feb. 28, 2026, 2:10 a.m. |
Created at: Feb. 28, 2026, 2:02 a.m.