Triple
T11734545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Indian Institutes of Technology |
E278990
|
entity |
| Predicate | selectionRate |
P7192
|
FINISHED |
| Object | very low |
—
|
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: very low | Statement: [Indian Institutes of Technology, selectionRate, very low]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: selectionRate Context triple: [Indian Institutes of Technology, selectionRate, very low]
-
A.
successRate
chosen
Indicates the proportion or frequency with which attempts at a given action or process result in a successful outcome.
-
B.
selectionRankingFrequency
Indicates how often an entity is chosen or ranked in a particular position within a selection or ordering process.
-
C.
selectedAt
Indicates that an entity was chosen or picked at a specific point in time or under particular selection conditions.
-
D.
selectionCharacteristic
Indicates a distinguishing feature or criterion used to choose or differentiate one entity from others.
-
E.
ratioOfDecision
Indicates the proportional relationship between a specific decision and a reference quantity, such as all possible or actual decisions in a given context.
- 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_69d6aaffec6881908bead509e8621742 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4daa7f48190896fc7653e9dd70b |
completed | April 10, 2026, 7:20 a.m. |
| PD | Predicate disambiguation | batch_69d88a7f51248190bf492bd7509b5413 |
completed | April 10, 2026, 5:28 a.m. |
Created at: April 8, 2026, 9:41 p.m.