Triple
T32028767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barracuda Tanker Corporation |
E817890
|
entity |
| Predicate | linkedEventYear |
P91150
|
FINISHED |
| Object | 1967 |
—
|
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: 1967 | Statement: [Barracuda Tanker Corporation, linkedEventYear, 1967]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: linkedEventYear Context triple: [Barracuda Tanker Corporation, linkedEventYear, 1967]
-
A.
yearOfEventLed
Indicates the specific year in which a particular event took place or was carried out.
-
B.
relatedYear
chosen
Indicates a connection between an entity and a specific year that is relevant to its occurrence, validity, or significance.
-
C.
yearAssociated
Indicates a specific year that is relevant or linked to an entity, event, or relationship (such as the year it occurred, was created, or is otherwise associated).
-
D.
hostedEventYear
Indicates the specific year in which an entity hosted a particular event.
-
E.
yearOfEventSupport
Indicates the specific year in which support for a particular event occurred or was provided.
- F. None of above.
Provenance (3 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_69f348fb04e4819081f4eab040ed7959 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fd57ba740c8190bd1d40166fccccb7 |
completed | May 8, 2026, 3:25 a.m. |
| PD | Predicate disambiguation | batch_69fd55ee82b881908a639da3a41b3af6 |
completed | May 8, 2026, 3:18 a.m. |
Created at: May 1, 2026, 12:17 a.m.