Triple
T28527136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Linb |
E721936
|
entity |
| Predicate | scriptBlockInUnicode |
P50909
|
FINISHED |
| Object | Linear B Syllabary |
—
|
NE NERFINISHED |
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: Linear B Syllabary | Statement: [Linb, scriptBlockInUnicode, Linear B Syllabary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scriptBlockInUnicode Context triple: [Linb, scriptBlockInUnicode, Linear B Syllabary]
-
A.
scriptBlockName
Indicates that a specific block of script or code is identified or labeled by a given name.
-
B.
scriptCode
Indicates that an entity is associated with a particular writing system or script, identified by a standardized script code.
-
C.
scriptText
Indicates that one entity contains or represents the textual content of a script associated with another entity.
-
D.
hasBlockUnicode
chosen
Indicates that one entity possesses or is associated with a specific Unicode block related to another entity.
-
E.
UnicodeBlock
Indicates that a character belongs to a specific contiguous range of code points defined as a Unicode block.
- 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_69f01a5d7ec88190ada2d5be7c06c35d |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f6b49436b0819094e21603054d05d4 |
completed | May 3, 2026, 2:36 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a5fd8481909433e923c5e24e55 |
completed | May 3, 2026, 2:32 a.m. |
Created at: April 28, 2026, 3:25 a.m.