Triple
T12420271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elizabeth Jane Cochrane |
E296749
|
entity |
| Predicate | traveledAroundWorldInDays |
P91163
|
FINISHED |
| Object | 72 |
—
|
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: 72 | Statement: [Elizabeth Jane Cochrane, traveledAroundWorldInDays, 72]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: traveledAroundWorldInDays Context triple: [Elizabeth Jane Cochrane, traveledAroundWorldInDays, 72]
-
A.
traveledAroundWorldInRecordTime
chosen
Indicates that an entity completed a journey around the entire world in a shorter time than any previously recorded attempt.
-
B.
numberOfCountriesVisited
Indicates the total count of distinct countries that an entity has visited.
-
C.
traveledFor
Indicates that an entity moved or journeyed to a place or event for a specific purpose, reason, or activity.
-
D.
visitedCountry
Indicates that an entity has traveled to and spent time in a particular country.
-
E.
timeInCountry
Indicates the duration or amount of time that an entity spends or has spent within a particular country.
- 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_69d6ada0640c81908c061d7fb3d47786 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94e1888b48190bd750f839a26e99e |
completed | April 10, 2026, 7:23 p.m. |
| PD | Predicate disambiguation | batch_69d94d354b488190adc83fb4f2770dd5 |
completed | April 10, 2026, 7:19 p.m. |
Created at: April 8, 2026, 9:55 p.m.