Triple
T5685059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Máfil |
E125290
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object | Máfil (town) |
E125290
|
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: Máfil (town) | Statement: [Máfil, capital, Máfil (town)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Máfil (town) Context triple: [Máfil, capital, Máfil (town)]
-
A.
Máfil
chosen
Máfil is a small town and commune located in southern Chile's Los Ríos Region, known for its rural character and forestry-based economy.
-
B.
Imlil village
Imlil village is a small mountain settlement in Morocco’s High Atlas, known as a popular base for trekking and ascents of Mount Toubkal.
-
C.
Marafiq
Marafiq is a major utility company in Saudi Arabia that provides power and water services to industrial cities such as Jubail.
-
D.
Makilala
Makilala is a municipality in the province of North Cotabato in the Philippines, known for its agricultural economy and proximity to Mount Apo.
-
E.
Munxar
Munxar is a small village on the island of Gozo in Malta, known for its rural character and scenic coastal surroundings.
- 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_69c0082a884c8190a79001bae658941f |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c023ba52b48190b94f8a3ecff61eb4 |
completed | March 22, 2026, 5:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c05a3d2b348190b44a067f485bca70 |
completed | March 22, 2026, 9:08 p.m. |
Created at: March 22, 2026, 3:44 p.m.