Triple
T9299631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guarda District |
E223725
|
entity |
| Predicate | administrativeCenter |
P1474
|
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: [Guarda District, administrativeCenter, Guarda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guarda Context triple: [Guarda District, administrativeCenter, 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.
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.
-
D.
Guardian
"Guardian" is a song by Canadian singer-songwriter Alanis Morissette, known for its uplifting, protective themes and emotive alternative rock style.
-
E.
Guards
Guards is an honorific military designation historically awarded to elite, highly distinguished units in various armed forces, particularly in the Soviet and Russian militaries.
- 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_69ca8423edb08190bc0c91287a484768 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd08d070c881908bed41aada6f85ae |
completed | April 1, 2026, noon |
| NED1 | Entity disambiguation (via context triple) | batch_69d0c77b8bf481909c5abf6523f75b2c |
completed | April 4, 2026, 8:10 a.m. |
Created at: March 30, 2026, 7:36 p.m.