Triple
T3725098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lamed |
E81728
|
entity |
| Predicate | appearsInScriptType |
P51248
|
FINISHED |
| Object | square Hebrew script |
—
|
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: square Hebrew script | Statement: [Lamed, appearsInScriptType, square Hebrew script]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appearsInScriptType Context triple: [Lamed, appearsInScriptType, square Hebrew script]
-
A.
appearsIn
Indicates that an entity is present, featured, or occurs within a particular context, work, or medium.
-
B.
appearsFor
Indicates that one entity is presented, shown, or made visible on behalf of, or in representation of, another entity.
-
C.
hasScriptedGenre
Indicates that an entity (such as a show or production) belongs to or is associated with a particular scripted genre.
-
D.
appearsWithCharacter
Indicates that two characters are shown or present together within the same scene, shot, or context.
-
E.
appearsInSeries
Indicates that an entity is featured or occurs within a particular series.
- 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_69ad8b1b7ef081908d2d381bbf54985a |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcaf54af881908bd8d520595de061 |
completed | March 8, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_69adc0452f5081909c79e114a86cce8c |
completed | March 8, 2026, 6:30 p.m. |
| PDg | Predicate description generation | batch_69adc226fffc81909c679b44e611fee6 |
completed | March 8, 2026, 6:38 p.m. |
Created at: March 8, 2026, 3:34 p.m.