Triple
T2245513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ERC Advanced Grant |
E49492
|
entity |
| Predicate | maximumDuration |
P24237
|
FINISHED |
| Object | 5 years |
—
|
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: 5 years | Statement: [ERC Advanced Grant, maximumDuration, 5 years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maximumDuration Context triple: [ERC Advanced Grant, maximumDuration, 5 years]
-
A.
possibleDuration
chosen
Indicates the range or specific length of time that an action, event, or state can last or is allowed to last.
-
B.
maximumVideoLength
Indicates the greatest allowable or supported duration for a video in this context.
-
C.
timeLimited
Indicates that the relationship or action is constrained to occur or remain valid only within a specific, limited time period.
-
D.
durationInitial
Indicates the initial length of time associated with an event, state, or process at its starting point.
-
E.
maximumService
Indicates that an entity provides the highest allowable or achievable level of service within a given context or system.
- 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_69a88aa979788190ad6500f1d8eee2fc |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc0ea75d881909d4e176a432f32e8 |
completed | March 7, 2026, 6:08 a.m. |
| PD | Predicate disambiguation | batch_69abbdb160248190aa75b38f11ad8602 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:47 p.m.