Triple
T37396544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hamsterdam legalization experiment |
E928867
|
entity |
| Predicate | inUniverseLocationName |
P120678
|
FINISHED |
| Object | Hamsterdam |
—
|
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: Hamsterdam | Statement: [Hamsterdam legalization experiment, inUniverseLocationName, Hamsterdam]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inUniverseLocationName Context triple: [Hamsterdam legalization experiment, inUniverseLocationName, Hamsterdam]
-
A.
inUniverseLocationType
Indicates the type or category of location that something occupies within a fictional or defined universe or setting.
-
B.
hasInUniverseLocationRelation
chosen
Indicates a relationship where an entity is associated with, or situated at, a specific location within a fictional or defined universe or setting.
-
C.
inUniversePosition
Indicates the spatial or locational position of an entity within a defined universe or world context.
-
D.
inUniverseRegion
Indicates that an entity is located within or belongs to a specific universe-defined region or area.
-
E.
inUniverseProductionLocation
Indicates the fictional location, within the narrative universe, where an in-universe production (such as a show, film, or performance) is depicted as being made.
- 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_69f76ebb10c481909b54b9dba263e29f |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fd64bc86848190a49f451a8fc5cf1e |
completed | May 8, 2026, 4:21 a.m. |
| PD | Predicate disambiguation | batch_69fd5ff4a648819090756d90fd195d9a |
completed | May 8, 2026, 4 a.m. |
Created at: May 3, 2026, 4:16 p.m.