Triple
T27773304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tagbanwa vowel sign U |
E699114
|
entity |
| Predicate | bidiMirrored |
P163335
|
FINISHED |
| Object | No |
—
|
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: No | Statement: [Tagbanwa vowel sign U, bidiMirrored, No]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bidiMirrored Context triple: [Tagbanwa vowel sign U, bidiMirrored, No]
-
A.
bidiClass
Indicates the bidirectional text classification assigned to a character, specifying how it behaves in left-to-right and right-to-left text layout.
-
B.
mirroredBy
Indicates that one entity serves as a reflective counterpart or reversed representation of another.
-
C.
hasWritingDirection
Indicates the direction in which writing or text is read or written for a given script, language, or text system.
-
D.
mirroredAt
Indicates that one entity is a mirror image or reflection of another entity with respect to a specified axis, plane, or point.
-
E.
reversedByCharacter
Indicates that one character undoes, inverts, or turns around an action, effect, or state that was previously established by another character.
- 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_69ef6a4b5a9081909c9111396c2be3d2 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f63798a67c8190876c47dacf89af6e |
completed | May 2, 2026, 5:42 p.m. |
| PD | Predicate disambiguation | batch_69f6318ae6f08190b3f85f9201046a15 |
completed | May 2, 2026, 5:16 p.m. |
| PDg | Predicate description generation | batch_69f6359d46b88190922dd7de508e3b0e |
completed | May 2, 2026, 5:34 p.m. |
Created at: April 27, 2026, 5:03 p.m.