Triple
T16907639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WEB |
E424602
|
entity |
| Predicate | codeOrdering |
P37518
|
FINISHED |
| Object | order required by Pascal compiler |
—
|
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: order required by Pascal compiler | Statement: [WEB, codeOrdering, order required by Pascal compiler]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: codeOrdering Context triple: [WEB, codeOrdering, order required by Pascal compiler]
-
A.
componentOrder
Indicates the relative sequence or arrangement of components within a larger structure or system.
-
B.
confersOrder
Indicates that one entity formally bestows or grants an order, rank, or honorific distinction upon another entity.
-
C.
columnOrder
Indicates the relative sequencing or arrangement of columns within a structured layout or dataset.
-
D.
orderOf
chosen
Indicates that one entity is arranged, ranked, or sequenced before or after another according to a specified ordering criterion.
-
E.
selectionOrderAdjustment
Indicates a modification to the original order in which items or options were selected, such as reordering or adjusting their selection sequence.
- 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_69d889da3e8c8190a2b118f383f0beac |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3ca39f9b08190b15106c6caf895ec |
completed | April 18, 2026, 6:15 p.m. |
| PD | Predicate disambiguation | batch_69e32b9489408190bcb2ede567ff5bf9 |
completed | April 18, 2026, 6:58 a.m. |
Created at: April 10, 2026, 5:30 a.m.