Triple
T473804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Svans |
E9015
|
entity |
| Predicate | haveDistinctCustoms |
P12379
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Svans, haveDistinctCustoms, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: haveDistinctCustoms Context triple: [Svans, haveDistinctCustoms, yes]
-
A.
isDistinctFrom
Indicates that two entities are not identical and can be clearly distinguished from one another.
-
B.
hasCustomsAndImmigration
Indicates that customs and immigration control services are present or provided at a given location or facility.
-
C.
hasDistinctVocabulary
chosen
Indicates that one entity’s vocabulary is different or distinguishable from that of another entity.
-
D.
customs
Indicates that an entity is responsible for regulating, inspecting, or processing goods and people as they cross a border for legal and tax purposes.
-
E.
hasCustomsUnion
Indicates that two or more entities participate in a customs union, sharing a common external tariff and removing customs duties between them.
- 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_69a2e7ff81708190b0507a24a997232c |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2f0208c788190a96cdabcf593fda7 |
completed | Feb. 28, 2026, 1:39 p.m. |
| PD | Predicate disambiguation | batch_69a2edeed31881908cf43beed410572d |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.