Triple
T15568693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coimbra Municipality |
E374181
|
entity |
| Predicate | hasUniversityCityReputation |
P119219
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Coimbra Municipality, hasUniversityCityReputation, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUniversityCityReputation Context triple: [Coimbra Municipality, hasUniversityCityReputation, true]
-
A.
containsUniversityCity
Indicates that a given region or area includes within its boundaries a city that hosts a university.
-
B.
hasCampusCity
Indicates that an educational institution or campus is located in a particular city.
-
C.
cityOfInstitution
Indicates the city in which an institution is located or based.
-
D.
hasPublicUniversityCampus
Indicates that a public university maintains or operates a campus at the specified location.
-
E.
universityLocatedIn
Indicates that a university is situated within or associated with a specific geographic location or administrative region.
- 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_69d85ccd575081908909b71a3f3e3a61 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04dde90b081908284d9258d4462e3 |
completed | April 16, 2026, 2:47 a.m. |
| PD | Predicate disambiguation | batch_69deda7e6e748190b29ccce23298afef |
completed | April 15, 2026, 12:23 a.m. |
| PDg | Predicate description generation | batch_69dff7f05f708190850f1d8782e132b0 |
completed | April 15, 2026, 8:41 p.m. |
Created at: April 10, 2026, 4:10 a.m.