Triple
T7535325
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter I Island |
E178134
|
entity |
| Predicate | firstLandingBy |
P77677
|
FINISHED |
| Object | Norwegian expedition |
—
|
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: Norwegian expedition | Statement: [Peter I Island, firstLandingBy, Norwegian expedition]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstLandingBy Context triple: [Peter I Island, firstLandingBy, Norwegian expedition]
-
A.
firstSpacecraftArrivalDate
Indicates the calendar date on which the first spacecraft arrived at a specified destination or location.
-
B.
firstMannedDescentBy
Indicates that the subject is the first entity to have carried out a manned descent to the object (such as a location or celestial body).
-
C.
firstLunarLandingDate
Indicates the calendar date on which an entity’s first lunar landing occurred.
-
D.
isFirstSpacecraftTo
Indicates that a spacecraft is the earliest or initial one to reach, visit, or achieve a specified destination or milestone.
-
E.
firstCrewedMission
Indicates that the mission is the first instance in which humans were onboard or directly participated as crew.
- 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_69c69f2acdbc8190b5a8320168c1d0ba |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f84c13208190971096a0b81b0ff2 |
completed | March 27, 2026, 9:36 p.m. |
| PD | Predicate disambiguation | batch_69c6f4d8eedc81908c1ae421e0e63798 |
completed | March 27, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69c6f5cea2748190afd607ef93e8d66c |
completed | March 27, 2026, 9:25 p.m. |
Created at: March 27, 2026, 3:47 p.m.