Triple
T34705234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PJA |
E1000483
|
entity |
| Predicate | hasFollowingLetters |
P129539
|
FINISHED |
| Object | JA |
—
|
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: JA | Statement: [PJA, hasFollowingLetters, JA]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFollowingLetters Context triple: [PJA, hasFollowingLetters, JA]
-
A.
followsLetter
Indicates that one element in a sequence comes immediately after another element in alphabetical or ordered letter arrangement.
-
B.
hasLettersFor
Indicates that one entity possesses or contains written correspondence intended for another entity.
-
C.
hasAdditionalLetters
Indicates that one entity contains extra or more letters than another entity, beyond a specified base set or reference.
-
D.
hasLetter
Indicates that one entity contains, includes, or is associated with a specific letter or character.
-
E.
subsequentLettersIndicate
chosen
Indicates that the letters immediately following a given position or symbol convey or specify additional information related to that position or symbol.
- 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_69f76dab937881909c86f1b9ad50445f |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69fe00dad1708190b6522476bebb43af |
completed | May 8, 2026, 3:27 p.m. |
| PD | Predicate disambiguation | batch_69fdfc3717f48190bb50ac2919c8ef95 |
completed | May 8, 2026, 3:07 p.m. |
Created at: May 3, 2026, 3:59 p.m.