Triple
T35607939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mayflower |
E1028949
|
entity |
| Predicate | laidAnchorNear |
P8968
|
FINISHED |
| Object | Cape Cod |
—
|
NE NERFINISHED |
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: Cape Cod | Statement: [Mayflower, laidAnchorNear, Cape Cod]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laidAnchorNear Context triple: [Mayflower, laidAnchorNear, Cape Cod]
-
A.
landedNear
Indicates that one entity has come to rest on a surface or location in close proximity to another specified entity or reference point.
-
B.
berthingOrDockingTarget
Indicates that an entity serves as the location or structure where a vessel or vehicle is intended to berth or dock.
-
C.
mooredAt
chosen
Indicates that one object, typically a vessel or floating structure, is secured or anchored at a specific location or facility.
-
D.
beachedAt
Indicates that something has come ashore and is stranded or resting on a beach at a particular location or time.
-
E.
stateOnNearestShore
Indicates that an entity is located on the shore that is geographically closest to another specified reference point or entity.
- 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_69f76e0653ec81909b1b813c126c6574 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79ec80034819090b6ef7a0ffe2d3a |
completed | May 3, 2026, 7:15 p.m. |
| PD | Predicate disambiguation | batch_69f79e4bdbcc8190be7a0d2cf8a77b64 |
completed | May 3, 2026, 7:13 p.m. |
Created at: May 3, 2026, 4:05 p.m.