Triple
T26492462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Principality of Béarn |
E669193
|
entity |
| Predicate | hadDistinctiveFeature |
P18160
|
FINISHED |
| Object | distinct legal traditions |
—
|
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: distinct legal traditions | Statement: [Principality of Béarn, hadDistinctiveFeature, distinct legal traditions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadDistinctiveFeature Context triple: [Principality of Béarn, hadDistinctiveFeature, distinct legal traditions]
-
A.
hasDistinctFeature
chosen
Indicates that an entity possesses a specific characteristic or attribute that differentiates it from others.
-
B.
notableSoundCharacteristic
Indicates a distinctive or noteworthy quality of the sound produced or associated with an entity.
-
C.
distinguishingTrait
Indicates that a particular characteristic or feature uniquely differentiates one entity from another.
-
D.
linguisticFeature
Indicates a relationship where a linguistic property, pattern, or characteristic is attributed to or associated with a language-related entity (such as a word, phrase, or text).
-
E.
hasLinguisticFeature
Indicates that an entity possesses a particular linguistic property, trait, or characteristic.
- 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_69eeb319007081909642b414b114b35a |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f621fcea1481909b6f8b3af1ee6820 |
completed | May 2, 2026, 4:10 p.m. |
| PD | Predicate disambiguation | batch_69f620debeb48190b7db395fb86cf8d9 |
completed | May 2, 2026, 4:05 p.m. |
Created at: April 27, 2026, 1:05 a.m.