Triple
T1960002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Santa María |
E42362
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Saint Mary |
E46518
|
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: Saint Mary | Statement: [Santa María, namedAfter, Saint Mary]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saint Mary Context triple: [Santa María, namedAfter, Saint Mary]
-
A.
Saint Mary
chosen
Saint Mary is a central figure in Christianity, revered as the mother of Jesus Christ and honored as a model of faith and purity in numerous traditions and churches worldwide.
-
B.
St Marys
St Marys is a small coastal village on Mainland, the largest island of Orkney in northern Scotland.
-
C.
Saint Martha
Saint Martha is a New Testament figure, sister of Mary and Lazarus, venerated as a saint for her hospitality and service to Jesus.
-
D.
Rose of Saint Mary
Rose of Saint Mary is another name for Saint Rose of Lima, the 17th-century Peruvian mystic venerated as the first canonized saint of the Americas.
-
E.
St. Stephens
St. Stephens is a historic former territorial capital and early 19th-century settlement in what is now Alabama, known for its role in the region’s frontier and political history.
- 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_69a8870eea088190a38781990812a9bc |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb37f737881908130bb828affcaa2 |
completed | March 7, 2026, 5:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adfbcea048819091d705095f0d3f68 |
completed | March 8, 2026, 10:44 p.m. |
Created at: March 4, 2026, 7:36 p.m.