Triple
T27387533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Gävle |
E691421
|
entity |
| Predicate | hasResearchProfile |
P138972
|
FINISHED |
| Object | sustainable urban development |
—
|
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: sustainable urban development | Statement: [University of Gävle, hasResearchProfile, sustainable urban development]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasResearchProfile Context triple: [University of Gävle, hasResearchProfile, sustainable urban development]
-
A.
hasResearcher
Indicates that an entity is associated with or linked to a specific researcher responsible for work, study, or investigation related to it.
-
B.
hasResearchComponent
chosen
Indicates that an entity includes, involves, or is associated with a research-related component or activity.
-
C.
hasResearchHistory
Indicates that an entity has a documented record of past research activities, projects, or studies.
-
D.
hasResearchStatus
Indicates that an entity holds a particular stage or condition within a research process, such as planned, in progress, completed, or published.
-
E.
hasResearched
Indicates that an entity has conducted study, investigation, or systematic inquiry into another entity or topic.
- 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_69ef520386788190bc92cfcd97ebb67a |
completed | April 27, 2026, 12:09 p.m. |
| NER | Named-entity recognition | batch_69feb8e856d48190aa34ad8ee8376e1c |
completed | May 9, 2026, 4:32 a.m. |
| PD | Predicate disambiguation | batch_69feb82a2b6c8190a473cc25976897be |
completed | May 9, 2026, 4:29 a.m. |
Created at: April 27, 2026, 12:24 p.m.