Triple
T2222393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laurence |
E48169
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Saint Lawrence |
E57562
|
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 Lawrence | Statement: [Laurence, associatedWith, Saint Lawrence]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saint Lawrence Context triple: [Laurence, associatedWith, Saint Lawrence]
-
A.
Saint Lawrence
chosen
Saint Lawrence is a Christian martyr and deacon of the early Church in Rome, venerated as a saint and especially associated with acts of charity and his legendary death by martyrdom.
-
B.
La Rive
La Rive is a renowned fine-dining restaurant located within Amsterdam’s historic Amstel Hotel, known for its elegant cuisine and riverside setting.
-
C.
Rance
Rance is a masculine given name most notably borne by American actor Rance Howard.
-
D.
St. Lawrence
St. Lawrence is a historic downtown Toronto neighborhood known for its iconic St. Lawrence Market, heritage architecture, and vibrant urban community.
-
E.
Saint John
Saint John is a small, largely undeveloped Caribbean island known for its pristine beaches and extensive national parkland within the U.S. Virgin Islands.
- 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_69a88aa1ee708190862c8c378c41e9eb |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc03bfdd48190bfb96ec3e41c22dc |
completed | March 7, 2026, 6:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae65605fa481908ac5b9d837600626 |
completed | March 9, 2026, 6:14 a.m. |
Created at: March 4, 2026, 7:47 p.m.