Triple
T2504904
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teapot Dome oil field |
E52554
|
entity |
| Predicate | timeOfMajorScandal |
P40847
|
FINISHED |
| Object | early 1920s |
—
|
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: early 1920s | Statement: [Teapot Dome oil field, timeOfMajorScandal, early 1920s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeOfMajorScandal Context triple: [Teapot Dome oil field, timeOfMajorScandal, early 1920s]
-
A.
associatedScandal
Indicates a relationship where an entity is linked to, involved in, or notably connected with a particular scandal.
-
B.
timeOfMajorDebate
Indicates the specific time at which a major debate takes place or is scheduled.
-
C.
timeOfFirstRevelation
Indicates the specific time at which the first revelation or initial disclosure of something occurred.
-
D.
leakDate
Indicates the date on which something (such as information, content, or a product) became publicly known or was unofficially released.
-
E.
impeachmentYear
Indicates the year in which an entity (typically a public official) was formally impeached.
- 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_69ab4957b3a88190adf968ae0c1b931c |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd65d6a988190aaaac8e98540a14f |
completed | March 7, 2026, 7:40 a.m. |
| PD | Predicate disambiguation | batch_69abd0bd996c8190ba8b9d6e4333b8d4 |
completed | March 7, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69abd65c9d508190957285a078698ed2 |
completed | March 7, 2026, 7:40 a.m. |
Created at: March 6, 2026, 9:46 p.m.