Triple
T11077570
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malmo Live complex |
E261905
|
entity |
| Predicate | hasConferenceFacilitiesArea |
P15338
|
FINISHED |
| Object | over 7000 square meters |
—
|
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: over 7000 square meters | Statement: [Malmo Live complex, hasConferenceFacilitiesArea, over 7000 square meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasConferenceFacilitiesArea Context triple: [Malmo Live complex, hasConferenceFacilitiesArea, over 7000 square meters]
-
A.
hasConferenceSpace
chosen
Indicates that an entity provides or includes dedicated space suitable for holding conferences, meetings, or similar gatherings.
-
B.
hasBackstageFacilities
Indicates that a venue or location provides backstage areas and related facilities for performers or staff.
-
C.
hasMediaFacilities
Indicates that an entity possesses or provides access to media-related infrastructure or equipment (such as studios, recording, broadcasting, or production facilities).
-
D.
hasFacilities
Indicates that an entity possesses, provides, or is equipped with certain facilities or physical resources.
-
E.
hasConferenceSystem
Indicates that an entity is equipped with or utilizes a particular conference or conferencing system.
- 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_69d6aa9983c08190b0ef61603b69feac |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7999407288190a901d4a2427a2102 |
completed | April 9, 2026, 12:20 p.m. |
| PD | Predicate disambiguation | batch_69d74415403c81909778bcd829e8832e |
completed | April 9, 2026, 6:15 a.m. |
Created at: April 8, 2026, 9:27 p.m.