Triple
T3770274
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greek drachma (Latin Monetary Union) |
E82779
|
entity |
| Predicate | valueParity |
P51043
|
FINISHED |
| Object | 1 drachma ≈ 1 French franc under LMU standard |
—
|
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: 1 drachma ≈ 1 French franc under LMU standard | Statement: [Greek drachma (Latin Monetary Union), valueParity, 1 drachma ≈ 1 French franc under LMU standard]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: valueParity Context triple: [Greek drachma (Latin Monetary Union), valueParity, 1 drachma ≈ 1 French franc under LMU standard]
-
A.
featureParityWith
Indicates that two entities offer the same or equivalent set of features or capabilities.
-
B.
hasParity
Indicates that two entities share the same parity property (e.g., both even or both odd) with respect to a specified attribute or value.
-
C.
evennessProperty
Indicates that a quantity, value, or count has the property of being even, typically divisible into two equal integer parts without remainder.
-
D.
parityWith
Indicates that two entities share the same parity, such as both being even or both being odd.
-
E.
hasFixedParityWith
Indicates that two entities share the same parity property (e.g., both even or both odd) and thus their parity remains consistently matched.
- 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_69ad8b207b0081909d2b48843fbd8795 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcc2f016c81909c2e3c85dbc3c259 |
completed | March 8, 2026, 7:21 p.m. |
| PD | Predicate disambiguation | batch_69adc04ec36c8190bd5b944d4f4d32aa |
completed | March 8, 2026, 6:30 p.m. |
| PDg | Predicate description generation | batch_69adc133ef50819094c2b971f31f1615 |
completed | March 8, 2026, 6:34 p.m. |
Created at: March 8, 2026, 3:35 p.m.