Triple
T15218015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IDX |
E363688
|
entity |
| Predicate | parsingRequirement |
P83073
|
FINISHED |
| Object | knowledge of header structure |
—
|
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: knowledge of header structure | Statement: [IDX, parsingRequirement, knowledge of header structure]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: parsingRequirement Context triple: [IDX, parsingRequirement, knowledge of header structure]
-
A.
formatRequirement
chosen
Indicates that one entity specifies the required structure, style, or arrangement that another entity must follow or conform to.
-
B.
typeOfRequirement
Indicates that one requirement is classified as a specific kind or category of another, more general requirement.
-
C.
evaluationRequirement
Indicates that one entity imposes or specifies conditions under which another entity must be assessed, tested, or evaluated.
-
D.
expandedRequirement
Indicates that one requirement elaborates, refines, or adds detail to another requirement.
-
E.
performanceRequirement
Indicates that one entity specifies or imposes a required level of performance that another entity must meet or satisfy.
- 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_69d85a0ce24c81909c4d3b6475548c95 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0076f90c481909989befe031a2cae |
completed | April 15, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69deca8479188190b2e5d3bc708d7d07 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:11 a.m.