Triple
T17124859
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beira Interior |
E415565
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Guarda |
E199962
|
NE 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: Guarda | Statement: [Beira Interior, containsCity, Guarda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guarda Context triple: [Beira Interior, containsCity, Guarda]
-
A.
Guarda
chosen
Guarda is a historic city in central Portugal known for being the country's highest-altitude city and for its well-preserved medieval architecture.
-
B.
Guarda
Guarda is a picturesque historic village in Switzerland’s Engadine valley, renowned for its well-preserved traditional houses and alpine scenery.
-
C.
Guardo
Guardo is a small town in northern Spain known for its location in the mountainous province of Palencia within the autonomous community of Castile and León.
-
D.
Guardea
Guardea is a small Italian town and comune in the Umbria region, known for its medieval historic center and scenic position overlooking the Tiber Valley.
-
E.
Guardino
Guardino is an Italian-origin surname borne by various notable individuals, including American actor Harry Guardino.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d886d090cc8190a39cb94992586905 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f025fce481908e261f2e363e14f9 |
completed | April 18, 2026, 8:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a013a12a7288190911c1be2667916c0 |
completed | May 11, 2026, 2:08 a.m. |
Created at: April 10, 2026, 5:36 a.m.