Triple
T10257197
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luis Alberto Pardo |
E240501
|
entity |
| Predicate | serviceNumberOfRescueAttempt |
P26806
|
FINISHED |
| Object | fourth rescue attempt to reach Elephant Island |
—
|
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: fourth rescue attempt to reach Elephant Island | Statement: [Luis Alberto Pardo, serviceNumberOfRescueAttempt, fourth rescue attempt to reach Elephant Island]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: serviceNumberOfRescueAttempt Context triple: [Luis Alberto Pardo, serviceNumberOfRescueAttempt, fourth rescue attempt to reach Elephant Island]
-
A.
rescueAttemptNumber
chosen
Indicates the ordinal count of distinct attempts made to carry out a rescue in a given rescue situation or operation.
-
B.
numberOfRescuers
Indicates the quantity of rescuers involved in or assigned to a particular rescue-related situation or event.
-
C.
numberOfPeopleTried
Indicates the count of distinct people who have attempted or tried a particular action, task, or item.
-
D.
rescuesWith
Indicates that one entity saves or frees another entity from danger, harm, or captivity using a particular means, tool, or method.
-
E.
serviceNumberApproximate
Indicates that one entity’s service number is approximately equal to, but not necessarily exactly the same as, another entity’s service number.
- 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_69d381a7e198819090280d5ab885d59e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2b5853081909cd0397e08a0f44d |
completed | April 7, 2026, 9:47 a.m. |
| PD | Predicate disambiguation | batch_69d4d1edae6881909a65201b8e51ea0a |
completed | April 7, 2026, 9:44 a.m. |
Created at: April 6, 2026, 11:31 a.m.