Triple
T15567576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ourém |
E374155
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Fátima |
E105859
|
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: Fátima | Statement: [Ourém, contains, Fátima]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fátima Context triple: [Ourém, contains, Fátima]
-
A.
Fátima
chosen
Fátima is a town in central Portugal renowned as a major Catholic pilgrimage site associated with reported Marian apparitions in 1917.
-
B.
Our Lady of Fátima
Our Lady of Fátima is the title given to the Virgin Mary in connection with her reported 1917 apparitions to three shepherd children in Fátima, Portugal, which became a major focus of Catholic devotion and pilgrimage.
-
C.
Gracia
Gracia is a feminine given name, commonly used in Spanish and other Romance languages, that derives from and shares the meaning of the name Grace.
-
D.
Natividad
Natividad is a landlocked agricultural municipality in the province of Pangasinan in the Philippines, known for its rural landscapes and eco-tourism sites.
-
E.
Rafaela
Rafaela is a major city in central Argentina known for its agricultural industry and role as a regional economic center.
- 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_69d85ccd575081908909b71a3f3e3a61 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04dde90b081908284d9258d4462e3 |
completed | April 16, 2026, 2:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff56c231e0819083d6032eb21114b2 |
completed | May 9, 2026, 3:46 p.m. |
Created at: April 10, 2026, 4:10 a.m.