Triple
T24555359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Belden Lyman |
E607498
|
entity |
| Predicate | placeOfMission |
P156297
|
FINISHED |
| Object | Hawaiian Islands |
—
|
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: Hawaiian Islands | Statement: [David Belden Lyman, placeOfMission, Hawaiian Islands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: placeOfMission Context triple: [David Belden Lyman, placeOfMission, Hawaiian Islands]
-
A.
possiblePlaceOfMission
Indicates that a location is a plausible or candidate site where a mission may have taken place or could take place.
-
B.
countryOfMission
Indicates that an entity (such as a mission, project, or operation) is associated with or takes place in a particular country.
-
C.
capturesMissionOf
Indicates that one entity records, represents, or encapsulates the mission or overarching purpose of another entity.
-
D.
intendedMission
Indicates that one entity is the planned or designated mission, task, or objective associated with another entity.
-
E.
coordinatesMissionsFor
Indicates that one entity organizes, manages, or oversees the planning and execution of missions on behalf of another entity.
- 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_69e2c4cae1b88190825e88d5ce8aa61e |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2a8f1fb9c819086b5bd0b03a853e6 |
completed | April 30, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69f2a6b99e7c8190ba7e2dc8729a314a |
completed | April 30, 2026, 12:47 a.m. |
| PDg | Predicate description generation | batch_69f2a846c5bc81909ba50cee483bea91 |
completed | April 30, 2026, 12:54 a.m. |
Created at: April 18, 2026, 2:27 a.m.