Triple
T3318663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mer Hayrenik |
E69739
|
entity |
| Predicate | firstLineInEnglish |
P36750
|
FINISHED |
| Object | Our Fatherland, free and independent |
—
|
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: Our Fatherland, free and independent | Statement: [Mer Hayrenik, firstLineInEnglish, Our Fatherland, free and independent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstLineInEnglish Context triple: [Mer Hayrenik, firstLineInEnglish, Our Fatherland, free and independent]
-
A.
firstLineTranslation
Indicates that one text is a translation of the first line of another text.
-
B.
firstWord
Indicates that one entity is the first word in the sequence or text associated with another entity.
-
C.
firstLineOpened
Indicates that the first line of something (e.g., a document, file, or text block) has been opened or accessed.
-
D.
firstEditionLanguage
Indicates the language in which a work was originally published in its first edition.
-
E.
firstVerseText
chosen
Indicates the textual content that appears in the first verse of something, such as a song, poem, or hymn.
- 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_69ad85a0bb048190a5458d2738012d61 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb1151f3c8190911af4edac701116 |
completed | March 8, 2026, 5:25 p.m. |
| PD | Predicate disambiguation | batch_69ada42a19348190a3862ce02451f4aa |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:11 p.m.