Triple
T5097267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Margarida |
E114896
|
entity |
| Predicate | shortForm |
P43
|
FINISHED |
| Object | Guida |
E119623
|
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: Guida | Statement: [Margarida, shortForm, Guida]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guida Context triple: [Margarida, shortForm, Guida]
-
A.
Guida
chosen
Guida is the feminine given name corresponding to the masculine name Guido, used primarily in Italian and related languages.
-
B.
The Guide
The Guide is the fictional, electronic travel guidebook central to Douglas Adams' "The Hitchhiker's Guide to the Galaxy," known for its humorous and irreverent entries about life in the universe.
-
C.
Rihla
Rihla is the famous travelogue of the 14th-century Moroccan explorer Ibn Battuta, chronicling his extensive journeys across the Islamic world and beyond.
-
D.
Guarda
Guarda is a historic city in central Portugal known for being the country's highest-altitude city and for its well-preserved medieval architecture.
-
E.
Rehberge
Rehberge is a Berlin U-Bahn station on line U6 serving the Wedding district in the northwestern part of the city.
- 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_69bd443fc49c819089629c00e311310c |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd75669afc81908a8db897fe56eccd |
completed | March 20, 2026, 4:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beba80aee081908498cbe9d4f2eaa7 |
completed | March 21, 2026, 3:34 p.m. |
Created at: March 20, 2026, 1:40 p.m.