Triple
T36846813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amelia Earhart’s Lockheed Electra 10E |
E910570
|
entity |
| Predicate | lastKnownLeg |
P186579
|
FINISHED |
| Object | Lae, New Guinea to Howland 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: Lae, New Guinea to Howland Island | Statement: [Amelia Earhart’s Lockheed Electra 10E, lastKnownLeg, Lae, New Guinea to Howland Island]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lastKnownLeg Context triple: [Amelia Earhart’s Lockheed Electra 10E, lastKnownLeg, Lae, New Guinea to Howland Island]
-
A.
lastFlight
Indicates that one flight is the final or most recent flight taken or operated by a given entity within a specified context or sequence.
-
B.
lastFlightWith
Indicates that one flight is the most recent flight taken by or associated with a given entity in relation to another entity or context.
-
C.
lastLocation
Indicates the most recent known place or position where an entity was located.
-
D.
lastFlightDesignation
Indicates the specific flight identifier assigned to the most recent flight associated with an entity.
-
E.
lastKnownPositionDescription
Indicates the most recently recorded textual description of where an entity was located.
- 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_69f76e7f65a881908651b702da592b6d |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f9fe1a1ca4819084c196f0041f0be2 |
completed | May 5, 2026, 2:26 p.m. |
| PD | Predicate disambiguation | batch_69f7cf7890008190a8bc355ff2d61c86 |
completed | May 3, 2026, 10:43 p.m. |
| PDg | Predicate description generation | batch_69f9fd66eed48190bdc26a8def328c2d |
completed | May 5, 2026, 2:23 p.m. |
Created at: May 3, 2026, 4:13 p.m.