Triple
T19158280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FCT NOVA |
E468983
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | FCT/UNL |
—
|
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: FCT/UNL | Statement: [FCT NOVA, shortName, FCT/UNL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FCT/UNL Context triple: [FCT NOVA, shortName, FCT/UNL]
-
A.
FCT-UNL
chosen
FCT-UNL is the science and technology faculty of NOVA University Lisbon, known for its engineering, natural sciences, and technology programs in Portugal.
-
B.
University of Beira Interior
The University of Beira Interior is a Portuguese public university located in the city of Covilhã, known for its strong programs in engineering, health sciences, and social sciences.
-
C.
Faculty of Sciences of the University of Porto
The Faculty of Sciences of the University of Porto is a major Portuguese higher education and research institution specializing in natural and exact sciences.
-
D.
FCTUC
FCTUC is the science and engineering faculty of the University of Coimbra, one of Portugal’s oldest and most prestigious universities.
-
E.
University of Porto
The University of Porto is one of Portugal’s largest and most prestigious public universities, renowned for its research output and diverse academic programs.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd084ff48190ac0f8c46ee722629 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5eeba91a081909c04d61d6117da06 |
completed | April 20, 2026, 9:15 a.m. |
Created at: April 10, 2026, 12:06 p.m.