Triple
T3068837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NeXTcube |
E62169
|
entity |
| Predicate | shippedWith |
P31505
|
FINISHED |
| Object | NeXTSTEP development tools |
—
|
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: NeXTSTEP development tools | Statement: [NeXTcube, shippedWith, NeXTSTEP development tools]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shippedWith Context triple: [NeXTcube, shippedWith, NeXTSTEP development tools]
-
A.
hasShip
Indicates that one entity possesses, owns, or is equipped with a ship.
-
B.
firstShippedWith
chosen
Indicates that one entity was the initial product, version, or item to be delivered, released, or included together with another entity.
-
C.
ownedShippingLine
Indicates that one entity possessed legal ownership or controlling interest in a particular shipping line.
-
D.
stateShip
Indicates that a ship is officially registered, documented, or associated with a particular state or governmental authority.
-
E.
shippingFunction
Indicates the method or process by which goods are transported or delivered from a sender to a recipient.
- 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_69ad85793e5c8190a358049bc4a98d8c |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada0ffcc208190962cc9edcbf43c31 |
completed | March 8, 2026, 4:17 p.m. |
| PD | Predicate disambiguation | batch_69ad9624b7a0819091d255614f5819ea |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 3:02 p.m.