Triple
T30888461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Action at Garnett’s Farm |
E786829
|
entity |
| Predicate | chronologicalOrderInSevenDays |
P191695
|
FINISHED |
| Object | early engagement |
—
|
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: early engagement | Statement: [Action at Garnett’s Farm, chronologicalOrderInSevenDays, early engagement]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chronologicalOrderInSevenDays Context triple: [Action at Garnett’s Farm, chronologicalOrderInSevenDays, early engagement]
-
A.
chronologicallyOrders
Indicates that one entity arranges or sequences other entities according to their positions in time, from earlier to later.
-
B.
chronologicallyOrdered
Indicates that the related entities are arranged in the order in which they occur in time.
-
C.
chronologicalOrderInComplex
Indicates that one event or element occurs at a specific position within a more complex, ordered temporal sequence relative to other events or elements.
-
D.
chronologicalOrderInList
Indicates that one item appears before another in the temporal sequence defined by a specific list or ordered collection.
-
E.
chronologicalFunction
Indicates a temporal relationship where one event or state functions to order, structure, or position another within a sequence of time.
- 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_69f224bbfa7c81908448e0c261c523e3 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fce7671f108190bf3ebf54339068b5 |
completed | May 7, 2026, 7:26 p.m. |
| PD | Predicate disambiguation | batch_69fce5b5a84c81908ac1b5b9f08d48d0 |
completed | May 7, 2026, 7:19 p.m. |
| PDg | Predicate description generation | batch_69fce76669408190b1beef8899a8a5e2 |
completed | May 7, 2026, 7:26 p.m. |
Created at: April 29, 2026, 8:49 p.m.