Triple
T6487909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Felanitx |
E146559
|
entity |
| Predicate | hasPort |
P35
|
FINISHED |
| Object | Portocolom |
E595696
|
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: Portocolom | Statement: [Felanitx, hasPort, Portocolom]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Portocolom Context triple: [Felanitx, hasPort, Portocolom]
-
A.
Portocolom
chosen
Portocolom is a picturesque coastal town and natural harbor on the eastern coast of Mallorca, Spain, known for its traditional fishing village charm and scenic waterfront.
-
B.
Palaonda
Palaonda is an indoor ice arena in Bolzano, Italy, primarily used for ice hockey and other sporting and entertainment events.
-
C.
Vacalea
Vacalea is a small rural village located on Kadavu Island in Fiji.
-
D.
Petorca
Petorca is a town and commune in central Chile’s Valparaíso Region, known historically for agriculture and more recently for conflicts over water scarcity.
-
E.
Locana
Locana is a seminal Sanskrit commentary by the Kashmiri philosopher Abhinavagupta, best known for its influential exposition of Indian aesthetic theory and poetics.
- 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_69c0090158c08190af0df9a2348d2d52 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c06a96a4048190a28dee5fd9258486 |
completed | March 22, 2026, 10:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c65fd88d7c8190a98b7a48d49280c3 |
completed | March 27, 2026, 10:45 a.m. |
Created at: March 22, 2026, 4:52 p.m.