Triple
T1515342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tenerife |
E32105
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Arona |
E176074
|
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: Arona | Statement: [Tenerife, hasCity, Arona]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arona Context triple: [Tenerife, hasCity, Arona]
-
A.
Arona
chosen
Arona is a coastal tourist municipality in southern Tenerife, Spain, known for its popular beach resorts such as Los Cristianos and Playa de las Américas.
-
B.
Lovari
Lovari are a subgroup of the Romani people, traditionally known as itinerant horse traders and craftsmen with their own distinct dialect and cultural customs.
-
C.
Lagoona
Lagoona is a creative work or character whose style and themes are shaped by the fantastical, fairy-filled world and motifs associated with Oberon from literature and mythology.
-
D.
Arida
Arida is a city in Japan known for its agricultural production, particularly high-quality citrus fruits, within Wakayama Prefecture.
-
E.
Paolone
Paolone is an Italian given name or nickname, typically a familiar or affectionate variant of the name Paolo.
- 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_69a885e8caf88190a5fbb6159ce87786 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a907da75388190bfbdbedbd46adbdc |
completed | March 5, 2026, 4:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad401616ec81908edd9dcb9f4a0184 |
completed | March 8, 2026, 9:23 a.m. |
Created at: March 4, 2026, 7:26 p.m.