Triple
T9034584
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Santa Cruz, Laguna |
E216458
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Santa Cruz (Holy Cross) |
E172446
|
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: Santa Cruz (Holy Cross) | Statement: [Santa Cruz, Laguna, namedAfter, Santa Cruz (Holy Cross)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Santa Cruz (Holy Cross) Context triple: [Santa Cruz, Laguna, namedAfter, Santa Cruz (Holy Cross)]
-
A.
Santa Bárbara
Santa Bárbara is a small Chilean town in the Biobío Region known for its rural character and proximity to the Biobío River and surrounding forests.
-
B.
Santa Bárbara
Santa Bárbara is a civil parish within the municipality of Ponta Delgada in the Azores, Portugal.
-
C.
Holy Cross
chosen
Holy Cross is a Christian term referring to the cross on which Jesus Christ was crucified, venerated as a central symbol of sacrifice and redemption in Christianity.
-
D.
Holy Cross
Holy Cross is the historic parish in Shrewsbury, England, associated with the medieval Shrewsbury Abbey.
-
E.
City of Santa Cruz
The City of Santa Cruz is a coastal California city known for its beaches, historic boardwalk amusement park, and vibrant surf and university culture.
- 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_69ca83d10b608190b2b2f8e0a7faaf14 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc6abf4af481908d21245332329d99 |
completed | April 1, 2026, 12:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfdbce352c8190b5862d0cc103bfdb |
completed | April 3, 2026, 3:25 p.m. |
Created at: March 30, 2026, 7:08 p.m.