Triple
T31607977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Munjan Valley |
E806543
|
entity |
| Predicate | historicalLinguisticSignificance |
P199726
|
FINISHED |
| Object | preservation of an Eastern Iranian language |
—
|
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: preservation of an Eastern Iranian language | Statement: [Munjan Valley, historicalLinguisticSignificance, preservation of an Eastern Iranian language]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicalLinguisticSignificance Context triple: [Munjan Valley, historicalLinguisticSignificance, preservation of an Eastern Iranian language]
-
A.
historicalLinguistics
Indicates the study of how languages change over time and the relationships between earlier and later language forms.
-
B.
historicalLanguage
Indicates that one language is a historical or earlier form/ancestor of another language.
-
C.
linguisticSignificance
Indicates the degree to which something is important, influential, or meaningful within a particular language or linguistic system.
-
D.
historicalLanguageFeature
Indicates that a language possesses a feature, trait, or characteristic that existed or was relevant in a past historical period.
-
E.
historicalLanguageInfluenceOn
Indicates that one language has had a shaping or contributory effect on the development, vocabulary, structure, or usage of another language over time.
- F. None of above. chosen
Provenance (4 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_69f348d61f2081908cad94bc9ffbb671 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69ff5285ed74819097e6e2a9084a079a |
completed | May 9, 2026, 3:28 p.m. |
| PD | Predicate disambiguation | batch_69ff51fbe28881908ac8417dff9db81a |
completed | May 9, 2026, 3:25 p.m. |
| PDg | Predicate description generation | batch_69ff528536d481909caefe52fcd8aaa7 |
completed | May 9, 2026, 3:28 p.m. |
Created at: April 30, 2026, 10:35 p.m.