Triple
T14551027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stade de Genève |
E341416
|
entity |
| Predicate | hasAddressCountryCode |
P17984
|
FINISHED |
| Object | CH |
—
|
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: CH | Statement: [Stade de Genève, hasAddressCountryCode, CH]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAddressCountryCode Context triple: [Stade de Genève, hasAddressCountryCode, CH]
-
A.
addressedCountry
Indicates that an action, communication, or document is directed or formally addressed to a specific country.
-
B.
hasPostalCountryCode
chosen
Indicates that an entity is associated with a specific country code used for postal addressing or mail routing.
-
C.
hasPrimaryCountryCode
Indicates that an entity is associated with its main or officially designated country code.
-
D.
hasAddressState
Indicates that an entity’s address is located within a particular state or state-level administrative region.
-
E.
hasCountryType
Indicates that an entity is associated with or classified under a specific type or category of country.
- 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_69d822db9c8481908213ceb39585f792 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb2ee34208190bf040a513767c958 |
completed | April 14, 2026, 9:34 p.m. |
| PD | Predicate disambiguation | batch_69de5c546c7081909e27d504ec360c5c |
completed | April 14, 2026, 3:25 p.m. |
Created at: April 10, 2026, 1:23 a.m.