Triple
T98791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orteig Prize |
E1992
|
entity |
| Predicate | firstOffered |
P3551
|
FINISHED |
| Object | 1919 |
—
|
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: 1919 | Statement: [Orteig Prize, firstOffered, 1919]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstOffered Context triple: [Orteig Prize, firstOffered, 1919]
-
A.
offersProgram
Indicates that an entity provides or makes available a specific program (such as a course, curriculum, or initiative).
-
B.
firstOccupied
Indicates that an entity was the initial or earliest occupant of a particular place, position, or resource.
-
C.
automaticBidBasis
Indicates that one entity’s bid amount is determined automatically based on a specified rule, condition, or reference value relative to another entity.
-
D.
firstRaisedBy
Indicates that one entity was the earliest or original source to bring up, introduce, or initiate the referenced issue, idea, or topic in relation to another entity.
-
E.
firstMessageTo
Indicates that one entity is the initial sender of a message or communication to 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_69a24d4862f881908cc8b89d3a78031d |
completed | Feb. 28, 2026, 2:04 a.m. |
| NER | Named-entity recognition | batch_69a24ff07d148190a59aee12c807659d |
completed | Feb. 28, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69a24ebe7b1c8190a6bfbf31dc7c7f07 |
completed | Feb. 28, 2026, 2:11 a.m. |
| PDg | Predicate description generation | batch_69a24f4b4658819087902414959161fb |
completed | Feb. 28, 2026, 2:13 a.m. |
Created at: Feb. 28, 2026, 2:09 a.m.