Triple
T26993264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tavastians |
E679909
|
entity |
| Predicate | ethnicNameInFinnish |
P60316
|
FINISHED |
| Object | hämäläiset |
—
|
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: hämäläiset | Statement: [Tavastians, ethnicNameInFinnish, hämäläiset]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ethnicNameInFinnish Context triple: [Tavastians, ethnicNameInFinnish, hämäläiset]
-
A.
usesNameInFinnish
chosen
Indicates that an entity is referred to or identified by a specific name when using the Finnish language.
-
B.
hasOfficialNameInFinnish
Indicates that an entity has a specific official name expressed in the Finnish language.
-
C.
hasNameInEstonian
Indicates that an entity is associated with a specific name expressed in the Estonian language.
-
D.
languageOfNamesake
Indicates the language in which the namesake of an entity (such as a person, place, or object) is named or expressed.
-
E.
nameInSwedish
Indicates that an entity is known or referred to by a particular name when expressed in the Swedish language.
- 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_69eeeb5138ac8190b3c273ddc659a54f |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f68805b4848190b75da14996d52a38 |
completed | May 2, 2026, 11:25 p.m. |
| PD | Predicate disambiguation | batch_69f68609c0b08190a8e1238a4d97c270 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 27, 2026, 6:53 a.m.