Triple
T35015981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lumpy Space |
E1010053
|
entity |
| Predicate | hasPortalLocation |
P44087
|
FINISHED |
| Object | Lumpy Space portal in the Land of Ooo |
—
|
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: Lumpy Space portal in the Land of Ooo | Statement: [Lumpy Space, hasPortalLocation, Lumpy Space portal in the Land of Ooo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPortalLocation Context triple: [Lumpy Space, hasPortalLocation, Lumpy Space portal in the Land of Ooo]
-
A.
hasPortal
chosen
Indicates that one entity possesses or provides access to a portal connecting to another location or entity.
-
B.
hasPortico
Indicates that one entity (typically a building or structure) features a portico as part of its architectural design.
-
C.
hasMainPortal
Indicates that one entity serves as the primary or main portal (entry point or access interface) for another entity.
-
D.
hasLocationRole
Indicates that an entity holds or plays a specific role in relation to a particular location (e.g., origin, destination, storage site, or operational area).
-
E.
hasNearbyPortAccess
Indicates that an entity is located close enough to a port to feasibly use it for access or transport.
- 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_69f76dcc3ac8819096a3ed52f5fa2523 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69ff3e1762d8819089a60e402e682817 |
completed | May 9, 2026, 2 p.m. |
| PD | Predicate disambiguation | batch_69ff3d8c6f308190a0646b1432752eb8 |
completed | May 9, 2026, 1:58 p.m. |
Created at: May 3, 2026, 4:01 p.m.