Triple
T7344002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ENEA |
E169327
|
entity |
| Predicate | hasOfficeIn |
P1268
|
FINISHED |
| Object | Portici |
E66693
|
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: Portici | Statement: [ENEA, hasOfficeIn, Portici]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Portici Context triple: [ENEA, hasOfficeIn, Portici]
-
A.
Portici
chosen
Portici is a coastal town near Naples in southern Italy, historically known as a Bourbon royal residence and cultural center in the Kingdom of Naples.
-
B.
Porticcio
Porticcio is a seaside resort town on the west coast of Corsica, France, known for its beaches, tourism, and views across the bay from Ajaccio.
-
C.
Porta Pisana
Porta Pisana is a historic city gate in the coastal town of Porto Ercole, Italy, reflecting its former defensive fortifications.
-
D.
Porta d’Arci
Porta d’Arci is a historic city gate in Rieti, Italy, that once formed part of the town’s medieval defensive walls.
-
E.
Tor di Quinto
Tor di Quinto is a district in the northern part of Rome, Italy, known for its green areas, sports facilities, and proximity to the Tiber River.
- 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_69c68a57710481909f0c1f3c6ebdb6f2 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f0ed78908190a169f094cb3f62f0 |
completed | March 27, 2026, 9:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7fa8a2a908190886e11a7d8df6c5e |
completed | March 28, 2026, 3:58 p.m. |
Created at: March 27, 2026, 3:05 p.m.