Triple
T5970823
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mahón |
E132866
|
entity |
| Predicate | officialName |
P66
|
FINISHED |
| Object | Maó |
E132866
|
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: Maó | Statement: [Mahón, officialName, Maó]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maó Context triple: [Mahón, officialName, Maó]
-
A.
Manacor
Manacor is a major town on the Spanish island of Mallorca, known for its pearl industry and as the birthplace of tennis player Rafael Nadal.
-
B.
Valldemossa
Valldemossa is a picturesque mountain village on the Spanish island of Mallorca, renowned for its historic Carthusian monastery and scenic stone streets.
-
C.
Mahón
chosen
Mahón is the principal city and administrative center of the Spanish Balearic island of Menorca, known for its large natural harbor and historic architecture.
-
D.
Palma de Mallorca
Palma de Mallorca is the historic coastal city and major tourist destination that serves as the political, cultural, and economic center of Spain’s Balearic Islands.
-
E.
Sóller
Sóller is a picturesque town in northwestern Mallorca, Spain, known for its historic tramway, citrus groves, and scenic setting in the Serra de Tramuntana mountains.
- 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_69c0086deab081908550159ca23eec9b |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c03a4263e8819084e98e6c016c9532 |
completed | March 22, 2026, 6:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c20d2e42c88190927bba51caec186f |
completed | March 24, 2026, 4:03 a.m. |
Created at: March 22, 2026, 4:03 p.m.