Triple
T9175261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HTTP/1.1 Range Requests |
E220182
|
entity |
| Predicate | headerForReturnedRange |
P3703
|
FINISHED |
| Object | Content-Range |
—
|
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: Content-Range | Statement: [HTTP/1.1 Range Requests, headerForReturnedRange, Content-Range]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: headerForReturnedRange Context triple: [HTTP/1.1 Range Requests, headerForReturnedRange, Content-Range]
-
A.
headerField
chosen
Indicates that one entity is a specific header field (such as a name–value pair) belonging to or defined within another entity, typically a message, request, or document header.
-
B.
headerSize
Indicates the size or length of a header associated with an entity or data structure.
-
C.
hasBlockRangeStart
Indicates the starting position or index of a contiguous block or range associated with an entity.
-
D.
rangeOf
Indicates that one entity specifies the set of possible values (range) that another entity’s outputs or properties can take.
-
E.
nativeRange
Indicates the geographic area where an entity naturally occurs or originated without human introduction.
- 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_69ca83e589948190ac9907819db11ddf |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccbfa2f9708190a955bf28a4f04004 |
completed | April 1, 2026, 6:48 a.m. |
| PD | Predicate disambiguation | batch_69cc660761d88190ab6134b43b376964 |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:23 p.m.