Triple
T192180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | W3 |
E3743
|
entity |
| Predicate | notationPattern |
P5329
|
FINISHED |
| Object | letter-number combination |
—
|
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: letter-number combination | Statement: [W3, notationPattern, letter-number combination]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notationPattern Context triple: [W3, notationPattern, letter-number combination]
-
A.
notationType
Indicates the specific system or style of notation used to represent or encode something (such as music, math, or language).
-
B.
fieldPattern
Indicates a recurring or structured arrangement or configuration present within a field or area.
-
C.
hatPattern
Indicates that one entity has a hat characterized by a specific pattern or design.
-
D.
namingStructure
Indicates a relationship where one entity defines, organizes, or constrains the naming or label format used for another entity.
-
E.
namedAfter
Indicates that one entity has been given its name in honor of, or derived from, another entity.
- 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_69a2548debd48190ae3a06d6e65b53c6 |
completed | Feb. 28, 2026, 2:35 a.m. |
| NER | Named-entity recognition | batch_69a259669ba08190a5be1d2e10e70b27 |
completed | Feb. 28, 2026, 2:56 a.m. |
| PD | Predicate disambiguation | batch_69a2567567508190b3a41329a15c7156 |
completed | Feb. 28, 2026, 2:44 a.m. |
| PDg | Predicate description generation | batch_69a25710bdfc81909b6697159104cf53 |
completed | Feb. 28, 2026, 2:46 a.m. |
Created at: Feb. 28, 2026, 2:41 a.m.