Triple
T29482810
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fetch API |
E747835
|
entity |
| Predicate | responseBodyAccess |
P167437
|
FINISHED |
| Object | response.text() |
—
|
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: response.text() | Statement: [Fetch API, responseBodyAccess, response.text()]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: responseBodyAccess Context triple: [Fetch API, responseBodyAccess, response.text()]
-
A.
allowsBodyChecking
Indicates that one party permits physical body checking to be used against another in a competitive or contact context.
-
B.
requiresBody
Indicates that one entity cannot exist, function, or be valid without being associated with or contained within another entity that serves as its body.
-
C.
publicBodyType
Indicates the classification or category of a public body (such as its organizational or legal type) within a governmental or public-sector context.
-
D.
supportsBody
Indicates that one entity physically or structurally holds up, bears the weight of, or provides foundational stability for another entity’s body.
-
E.
publicBody
Indicates that an entity functions as a governmental or publicly controlled organization that performs public duties or services.
- 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_69f0bd43ba30819095eb1cfc3adf525c |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69f66bdaa8bc8190bc7153c867051558 |
completed | May 2, 2026, 9:25 p.m. |
| PD | Predicate disambiguation | batch_69f6659b62fc8190b21555d0ba54db2d |
completed | May 2, 2026, 8:59 p.m. |
| PDg | Predicate description generation | batch_69f6691da93081909deaf680614fc900 |
completed | May 2, 2026, 9:14 p.m. |
Created at: April 28, 2026, 4:05 p.m.