Triple
T7621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mayflower landing at Plymouth |
E151
|
entity |
| Predicate | crewCountApproximate |
P883
|
FINISHED |
| Object | 30 |
—
|
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: 30 | Statement: [Mayflower landing at Plymouth, crewCountApproximate, 30]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: crewCountApproximate Context triple: [Mayflower landing at Plymouth, crewCountApproximate, 30]
-
A.
staffIncluded
Indicates that staff members are included or provided as part of the associated entity, service, or arrangement.
-
B.
collectionSize
Indicates the total number of items contained within a specified collection.
-
C.
drivesOn
Indicates that an entity uses or travels along a particular route, surface, or roadway as its path of movement.
-
D.
foundingMember
Indicates that an entity is one of the original creators or initial participants involved in establishing another entity, such as an organization, group, or project.
-
E.
numberOfChildren
Indicates the total count of children that an entity has.
- 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_69a23bb612708190b09f25385e4b63d1 |
completed | Feb. 28, 2026, 12:49 a.m. |
| NER | Named-entity recognition | batch_69a241a55ac081909e95b71c97db8140 |
completed | Feb. 28, 2026, 1:15 a.m. |
| PD | Predicate disambiguation | batch_69a23fe1cf38819080ea56c40bf2632e |
completed | Feb. 28, 2026, 1:07 a.m. |
| PDg | Predicate description generation | batch_69a241a4a0f481908de66b64c6262fcd |
completed | Feb. 28, 2026, 1:15 a.m. |
Created at: Feb. 28, 2026, 12:54 a.m.