Triple
T18605020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Porta Faul |
E454719
|
entity |
| Predicate | hasName |
P744
|
FINISHED |
| Object | Porta Faul |
—
|
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: Porta Faul | Statement: [Porta Faul, hasName, Porta Faul]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Porta Faul Context triple: [Porta Faul, hasName, Porta Faul]
-
A.
Porta Faul
chosen
Porta Faul is a historic city gate in Viterbo, Italy, notable as part of the town’s medieval defensive walls.
-
B.
Carmental Gate
Carmental Gate was an ancient city gate in Rome’s early defensive walls, serving as a key western entrance near the Tiber and associated with important religious and historical traditions.
-
C.
Porta Uzeda
Porta Uzeda is a historic Baroque city gate in Catania, Italy, forming a monumental entrance between the old city center and the seafront.
-
D.
Porta Grande
Porta Grande is a historic city gate and notable architectural landmark in the town of Mesagne in southern Italy.
-
E.
Porta Elisa
Porta Elisa is a neoclassical city gate in Lucca, Italy, serving as one of the main entrances through the town’s historic defensive walls.
- 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_69d8d38bbe7c8190bdec3138e7d413c9 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e547535b8c8190ab5a8a92f15f2bcb |
completed | April 19, 2026, 9:21 p.m. |
Created at: April 10, 2026, 11:45 a.m.