Triple
T36846838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amelia Earhart’s Lockheed Electra 10E |
E910570
|
entity |
| Predicate | searchEffort |
P186724
|
FINISHED |
| Object | subject of extensive U.S. Navy and Coast Guard search |
—
|
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: subject of extensive U.S. Navy and Coast Guard search | Statement: [Amelia Earhart’s Lockheed Electra 10E, searchEffort, subject of extensive U.S. Navy and Coast Guard search]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: searchEffort Context triple: [Amelia Earhart’s Lockheed Electra 10E, searchEffort, subject of extensive U.S. Navy and Coast Guard search]
-
A.
searchingFor
Indicates that one entity is actively seeking, looking for, or attempting to locate another entity.
-
B.
searchesOver
Indicates that one entity actively looks through, queries, or examines another entity or set of entities to find information or items.
-
C.
searchesLedTo
Indicates that one or more search actions resulted in, or directly produced, a particular outcome or item.
-
D.
searchesVia
Indicates that an entity performs a search by means of, or using, a specified tool, method, or channel.
-
E.
searchOperationEffect
Indicates the outcome or impact that a search operation has on its target or environment.
- 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_69fa0a7b00948190a257273d9968c5d7 |
completed | May 5, 2026, 3:19 p.m. |
| PD | Predicate disambiguation | batch_69f9fec9c9488190ae2a349651a02782 |
completed | May 5, 2026, 2:29 p.m. |
| PDg | Predicate description generation | batch_69fa0a799b9081909bfa8293a22c4b00 |
completed | May 5, 2026, 3:19 p.m. |
Created at: May 3, 2026, 4:13 p.m.