Triple
T29895577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scarlet Lady-class |
E759267
|
entity |
| Predicate | firstShipDelivered |
P34263
|
FINISHED |
| Object | Scarlet Lady |
—
|
NE NERFINISHED |
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: Scarlet Lady | Statement: [Scarlet Lady-class, firstShipDelivered, Scarlet Lady]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstShipDelivered Context triple: [Scarlet Lady-class, firstShipDelivered, Scarlet Lady]
-
A.
firstDeliveryDate
Indicates the date on which an item, service, or order is delivered for the first time.
-
B.
firstShippedWith
Indicates that one entity was the initial product, version, or item to be delivered, released, or included together with another entity.
-
C.
firstShip
chosen
Indicates that the subject is the earliest or initial ship associated with, created by, or used in relation to the object.
-
D.
firstShippedOn
Indicates the date on which something was initially shipped or dispatched for the first time.
-
E.
deliveredAt
Indicates the specific time or location at which something (such as a message, product, or service) is delivered.
- 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_69f2245f1cf88190978c70d1a1d2cb73 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_6a01531add1c8190b51add7bb046e2cb |
completed | May 11, 2026, 3:55 a.m. |
| PD | Predicate disambiguation | batch_6a014fef3d8c81909b509d51d0c4cdc7 |
completed | May 11, 2026, 3:41 a.m. |
Created at: April 29, 2026, 6:04 p.m.