Triple
T31047201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lapua |
E791160
|
entity |
| Predicate | movementNamedAfter |
P175694
|
FINISHED |
| Object | Lapua Movement |
—
|
NE NERFINISHED |
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: Lapua Movement | Statement: [Lapua, movementNamedAfter, Lapua Movement]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: movementNamedAfter Context triple: [Lapua, movementNamedAfter, Lapua Movement]
-
A.
movementNamedBy
Indicates that a movement, style, or trend is named after or designated by a particular term or label.
-
B.
peopleNamedAfter
Indicates that one person or group received their name in honor of, or derived from, another person or group.
-
C.
fieldOfNamedAfter
Indicates that a field of study or professional discipline is named in honor of a particular person or entity.
-
D.
cityNamedAfter
Indicates that one city derives its name from or was named in honor of another entity, such as a person, place, or concept.
-
E.
historicallyNamedAfter
Indicates that one entity received its name from another entity at some point in the past.
- 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_69f224ca2fa881908a3ac5fedf207b90 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6d74b20a48190900dda1014cc13a8 |
completed | May 3, 2026, 5:04 a.m. |
| PD | Predicate disambiguation | batch_69f6d26ceb08819091c71c001e954936 |
completed | May 3, 2026, 4:43 a.m. |
| PDg | Predicate description generation | batch_69f6d6a482fc8190b526291cd99b8696 |
completed | May 3, 2026, 5:01 a.m. |
Created at: April 29, 2026, 8:59 p.m.