Triple
T10156768
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Transfer-Encoding header field |
E233793
|
entity |
| Predicate | replacedByInHTTP3 |
P92320
|
FINISHED |
| Object | frame-based message delimitation |
—
|
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: frame-based message delimitation | Statement: [Transfer-Encoding header field, replacedByInHTTP3, frame-based message delimitation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: replacedByInHTTP3 Context triple: [Transfer-Encoding header field, replacedByInHTTP3, frame-based message delimitation]
-
A.
replacedWith
Indicates that one entity has been substituted or superseded by another entity, taking over its role, function, or position.
-
B.
placedBy
Indicates that one entity was positioned, set, or put in a location or context by another entity.
-
C.
replacedByRule
Indicates that an entity has been superseded or substituted by another entity according to a specific rule or transformation.
-
D.
replacedByDuringRecovery
Indicates that one entity is substituted or superseded by another specifically for the duration of a recovery period.
-
E.
replacedByForCivilTraffic
Indicates that one entity has been superseded or substituted by another specifically for purposes related to civil traffic matters.
- 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_69ca848e80748190b91d1e04d35512c7 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cdec3c47dc81909679903e6024eb49 |
completed | April 2, 2026, 4:10 a.m. |
| PD | Predicate disambiguation | batch_69cd4ba795808190acc9124c98c6e40f |
completed | April 1, 2026, 4:45 p.m. |
| PDg | Predicate description generation | batch_69cd4f8f869c8190a82ad040993e0244 |
completed | April 1, 2026, 5:02 p.m. |
Created at: March 30, 2026, 9:09 p.m.