Triple
T5041255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fundamento de Esperanto |
E113548
|
entity |
| Predicate | legalStatusInEsperantoCommunity |
P60968
|
FINISHED |
| Object | normative |
—
|
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: normative | Statement: [Fundamento de Esperanto, legalStatusInEsperantoCommunity, normative]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legalStatusInEsperantoCommunity Context triple: [Fundamento de Esperanto, legalStatusInEsperantoCommunity, normative]
-
A.
legalStatusInEuropeanUnion
Indicates the legal status or standing that an entity holds within the jurisdictional framework of the European Union.
-
B.
legalStatusAccordingToUkraine
Indicates the legal status or classification of an entity as defined specifically by the laws and regulations of Ukraine.
-
C.
legalStatusClarifiedBy
Indicates that the legal status of something is defined, explained, or resolved by a specific document, decision, or authoritative act.
-
D.
hasLegalStatus
Indicates that an entity possesses a particular legal classification, recognition, or standing under law.
-
E.
legalStatusModern
Indicates the current legal standing or classification of an entity under contemporary law or regulatory frameworks.
- 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_69bd44384298819089c49e7c330ec7b8 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd73de73008190b89aec9a76b43e4f |
completed | March 20, 2026, 4:20 p.m. |
| PD | Predicate disambiguation | batch_69bd71529d608190a53470ba6c14bb1d |
completed | March 20, 2026, 4:09 p.m. |
| PDg | Predicate description generation | batch_69bd73617f348190b2fa68a0ef4fc7b1 |
completed | March 20, 2026, 4:18 p.m. |
Created at: March 20, 2026, 1:37 p.m.