Triple
T11943933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A8 |
E284246
|
entity |
| Predicate | sharesNumberingPatternWith |
P51527
|
FINISHED |
| Object | A1 |
—
|
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: A1 | Statement: [A8, sharesNumberingPatternWith, A1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sharesNumberingPatternWith Context triple: [A8, sharesNumberingPatternWith, A1]
-
A.
sharesYearNumberingWith
chosen
Indicates that two calendar systems or date representations use the same numbering for years, so a given year has the same numeric label in both.
-
B.
sharesNamePatternWith
Indicates that two entities have names that follow the same or a very similar structural or stylistic pattern.
-
C.
numberingType
Indicates the scheme or style used to assign sequential numbers or labels within an ordered set.
-
D.
sharesAlignmentWith
Indicates that two entities have the same or sufficiently similar alignment, orientation, or stance according to a defined alignment system.
-
E.
isNumberedBy
Indicates that an entity is assigned, identified, or organized by a specific number or numbering scheme.
- 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_69d6ab2db38c8190b1f0ed6663ef8ada |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9034444488190925a6fa6c856ed08 |
completed | April 10, 2026, 2:03 p.m. |
| PD | Predicate disambiguation | batch_69d8bb3e48e08190b2fee43af4f57323 |
completed | April 10, 2026, 8:56 a.m. |
Created at: April 8, 2026, 9:45 p.m.