Triple
T5929596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joe Keller |
E131901
|
entity |
| Predicate | knowinglyShipped |
P66769
|
FINISHED |
| Object | cracked cylinder heads |
—
|
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: cracked cylinder heads | Statement: [Joe Keller, knowinglyShipped, cracked cylinder heads]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: knowinglyShipped Context triple: [Joe Keller, knowinglyShipped, cracked cylinder heads]
-
A.
hasShip
Indicates that one entity possesses, owns, or is equipped with a ship.
-
B.
stateShip
Indicates that a ship is officially registered, documented, or associated with a particular state or governmental authority.
-
C.
deliveredAs
Indicates that something is provided, transmitted, or presented in a particular form, manner, or role.
-
D.
sentShipsTo
Indicates that one entity dispatched or directed ships to another entity or location.
-
E.
firstShippedWith
Indicates that one entity was the initial product, version, or item to be delivered, released, or included together with 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_69c0085b75e88190a632f9691f9da48b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03c9239e08190bff7ef2bd6d21ae0 |
completed | March 22, 2026, 7:01 p.m. |
| PD | Predicate disambiguation | batch_69c033541d108190a34d1fde2fe9dacb |
completed | March 22, 2026, 6:22 p.m. |
| PDg | Predicate description generation | batch_69c03c8d579081909d7b97fc9014b5d7 |
completed | March 22, 2026, 7:01 p.m. |
Created at: March 22, 2026, 4 p.m.