Triple
T29062977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alphabet Park near Oshakan |
E735589
|
entity |
| Predicate | languageHonored |
P15
|
FINISHED |
| Object | Armenian |
—
|
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: Armenian | Statement: [Alphabet Park near Oshakan, languageHonored, Armenian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageHonored Context triple: [Alphabet Park near Oshakan, languageHonored, Armenian]
-
A.
languageOfHonoredFigure
Indicates the language associated with or used by the person who is being honored.
-
B.
languageEmphasizes
Indicates that one language or linguistic system places particular focus, importance, or prominence on a specific feature, concept, or element compared to others.
-
C.
honorificSense
Indicates that one entity refers to another using an honorific or respectful linguistic form.
-
D.
languageOfWorkOrName
chosen
Indicates the language in which a work is created or a name is expressed.
-
E.
honorificUse
Indicates that one entity refers to or addresses another using an honorific title or respectful linguistic form.
- 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_69f077e85498819088b65186550da8cd |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69fe744faca881908e11e90e0a35653f |
completed | May 8, 2026, 11:39 p.m. |
| PD | Predicate disambiguation | batch_69fe734cbf7081909a552c5cf3b5ea59 |
completed | May 8, 2026, 11:35 p.m. |
Created at: April 28, 2026, 10:16 a.m.