Triple
T25353947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andrée balloon expedition 1897 |
E635768
|
entity |
| Predicate | discoveryOfRemainsDate |
P159111
|
FINISHED |
| Object | 1930-08-06 |
—
|
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: 1930-08-06 | Statement: [Andrée balloon expedition 1897, discoveryOfRemainsDate, 1930-08-06]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: discoveryOfRemainsDate Context triple: [Andrée balloon expedition 1897, discoveryOfRemainsDate, 1930-08-06]
-
A.
dateOfBurial
Indicates the specific date on which an entity was buried.
-
B.
rediscoveryOfRemains
Indicates the event or relationship in which previously discovered remains are found, identified, or brought to attention again after having been lost, forgotten, or overlooked.
-
C.
deathDateAtSite
Indicates the date on which an entity died at a specified location or site.
-
D.
numberOfHumanRemainsFound
Indicates the quantity of human remains that have been discovered in a given context or location.
-
E.
discoveredRemainsIn
Indicates that one entity found or uncovered the physical remains of another entity at a specific location.
- 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_69e75a9ac5d881909387ed766e20cd47 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f49dfedae88190a02f10196ef45ffa |
completed | May 1, 2026, 12:35 p.m. |
| PD | Predicate disambiguation | batch_69f49377411c8190b2188de444d76795 |
completed | May 1, 2026, 11:50 a.m. |
| PDg | Predicate description generation | batch_69f497b8abb88190bb672cf6907c4b8d |
completed | May 1, 2026, 12:08 p.m. |
Created at: April 21, 2026, 1:34 p.m.