Triple
T4877783
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Basilica of the Holy Trinity |
E109246
|
entity |
| Predicate | locatedIn |
P40
|
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: [Basilica of the Holy Trinity, locatedIn, Fátima]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fátima Context triple: [Basilica of the Holy Trinity, locatedIn, 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.
María
"María" is a film featuring actress Taryn Power in a significant role.
-
D.
María
María is the given first name of Josefa Ortiz de Domínguez, a prominent figure in Mexico’s War of Independence.
-
E.
María
María is a key character in Ernest Hemingway's novel "For Whom the Bell Tolls," known as a young Spanish woman and love interest of the protagonist amid the Spanish Civil War.
- 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_69bd440e9d64819083e82cf33b4d9570 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6dbd69d48190a8397d67af8f5fc8 |
completed | March 20, 2026, 3:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be67ffd9e88190a2c293d16a8cbbc7 |
completed | March 21, 2026, 9:42 a.m. |
Created at: March 20, 2026, 1:27 p.m.