Triple
T26818096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Last Glacial Period |
E675171
|
entity |
| Predicate | exposedLandBridge |
P161504
|
FINISHED |
| Object | Bering Land Bridge |
—
|
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: Bering Land Bridge | Statement: [Last Glacial Period, exposedLandBridge, Bering Land Bridge]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: exposedLandBridge Context triple: [Last Glacial Period, exposedLandBridge, Bering Land Bridge]
-
A.
exposedThrough
Indicates that something becomes revealed, accessible, or affected as a result of passing through or being subjected to another thing or medium.
-
B.
exposedAs
Indicates that one entity reveals or publicly identifies another entity as having a hidden, false, or previously concealed role, identity, or nature.
-
C.
exposedPortion
Indicates that a specified part of an object or surface is uncovered, visible, or not protected by any covering or enclosure.
-
D.
exposesTo
Indicates that one entity subjects another entity to contact with or influence from something, typically involving risk, effect, or experience.
-
E.
exposed
Indicates that one entity has been made visible, revealed, or left unprotected to another entity or to some external influence.
- 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_69eee9b6b28481909332f83eb17e5170 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f61a87b34081909f7e7276e9e9c82b |
completed | May 2, 2026, 3:38 p.m. |
| PD | Predicate disambiguation | batch_69f611ad2eb48190ac1ed0090f13f7a9 |
completed | May 2, 2026, 3:01 p.m. |
| PDg | Predicate description generation | batch_69f6142a0b988190b404d078f73c3cb9 |
completed | May 2, 2026, 3:11 p.m. |
Created at: April 27, 2026, 4:53 a.m.