Triple
T1094943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Psalm 119 |
E24250
|
entity |
| Predicate | firstStanzaLetter |
P16915
|
FINISHED |
| Object | Aleph |
—
|
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: Aleph | Statement: [Psalm 119, firstStanzaLetter, Aleph]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstStanzaLetter Context triple: [Psalm 119, firstStanzaLetter, Aleph]
-
A.
firstLetter
Indicates that one entity is the initial character or starting letter of another entity (typically a string or word).
-
B.
firstLitAt
Indicates that a particular object or location becomes illuminated or receives light for the first time at a specified time or under specified conditions.
-
C.
firstOf
Indicates that one entity is the earliest or initial member in an ordered sequence or collection relative to the others.
-
D.
firstLineTranslation
Indicates that one text is a translation of the first line of another text.
-
E.
acrostic
chosen
Indicates that the letters (often initial letters) of a sequence of words, lines, or phrases form another word or message when read in a specific order.
- 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_69a4940542308190ac2a0b1f730b7cfc |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b99e92308190b8a8c499e1630672 |
completed | March 1, 2026, 10:11 p.m. |
| PD | Predicate disambiguation | batch_69a4b743175481908f3967e589717c55 |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:42 p.m.