Triple
T2981020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pe |
E80509
|
entity |
| Predicate | followsInAlphabet |
P20867
|
FINISHED |
| Object | Ayin |
—
|
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: Ayin | Statement: [Pe, followsInAlphabet, Ayin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: followsInAlphabet Context triple: [Pe, followsInAlphabet, Ayin]
-
A.
followsLetter
chosen
Indicates that one element in a sequence comes immediately after another element in alphabetical or ordered letter arrangement.
-
B.
precedesLetter
Indicates that one letter comes immediately before another letter in a specified ordering, such as the alphabet or a given sequence.
-
C.
usesAlphabet
Indicates that one entity employs or is written using the alphabet or writing system associated with another entity.
-
D.
alphabet
Indicates that one entity is an alphabet or set of symbols used for representing elements (such as characters or tokens) in relation to another entity.
-
E.
letterSequence
Indicates that one sequence of letters directly follows or is ordered in relation to another within a larger string or alphabetic arrangement.
- 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_69ad8b15f6ac8190be5fd16a33edcb4f |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad99a098e08190976eb4b019818f67 |
completed | March 8, 2026, 3:45 p.m. |
| PD | Predicate disambiguation | batch_69ad9611fc348190a5d17d237f653f60 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 2:58 p.m.