Triple
T4088492
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Haven Knights |
E87647
|
entity |
| Predicate | activeAround |
P52936
|
FINISHED |
| Object | turn of the 21st century |
—
|
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: turn of the 21st century | Statement: [New Haven Knights, activeAround, turn of the 21st century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: activeAround Context triple: [New Haven Knights, activeAround, turn of the 21st century]
-
A.
activeFrom
Indicates the starting point in time from which an entity or relationship is considered active or in effect.
-
B.
around
Indicates that one entity is located or moves on all or most sides of another entity, encircling or surrounding it spatially.
-
C.
activeInEvent
Indicates that an entity participates in or is involved in carrying out actions within a particular event.
-
D.
activityTime
Indicates the time period during which an activity occurs or is scheduled to take place.
-
E.
activeInYears
Indicates that an entity was active or operational during the specified years or year range.
- F. None of above. chosen
Provenance (4 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_69aed94425148190be337845d56fac22 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefca9e9088190a97cb2ccb5d622f0 |
completed | March 9, 2026, 5 p.m. |
| PD | Predicate disambiguation | batch_69aef909c9c88190b09d48dad325a83c |
completed | March 9, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69aef9b34dec81909bbc3def9decc71a |
completed | March 9, 2026, 4:47 p.m. |
Created at: March 9, 2026, 3:39 p.m.