Triple
T384242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GMAT |
E8744
|
entity |
| Predicate | deliveryMode |
P10739
|
FINISHED |
| Object | computer-based |
—
|
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: computer-based | Statement: [GMAT, deliveryMode, computer-based]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: deliveryMode Context triple: [GMAT, deliveryMode, computer-based]
-
A.
deliveryGuarantee
Indicates that one party commits to ensuring that an item, service, or outcome will be delivered under specified conditions or within a defined timeframe.
-
B.
deliveredAs
Indicates that something is provided, transmitted, or presented in a particular form, manner, or role.
-
C.
deliveredBy
Indicates that something (such as a product, message, or service) is brought, transported, or provided to its destination by a specified agent or carrier.
-
D.
delivered
Indicates that something has been brought or transported to a recipient or destination, typically completing a transfer or fulfillment of an order, message, or service.
-
E.
deliveredDuring
Indicates that one entity was delivered within the time span defined by another entity or temporal interval.
- 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_69a2e7f47dd08190a4e294ccbbe46cd4 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec422b808190b6ddf747ef939151 |
completed | Feb. 28, 2026, 1:23 p.m. |
| PD | Predicate disambiguation | batch_69a2e967d84c8190a6b647f78d95d4e4 |
completed | Feb. 28, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69a2ea2dc3088190a2aeb4496aff3582 |
completed | Feb. 28, 2026, 1:14 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.