Triple
T9523138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rue Royale |
E229693
|
entity |
| Predicate | translationOfName |
P15
|
FINISHED |
| Object | Royal Street |
E130450
|
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: Royal Street | Statement: [Rue Royale, translationOfName, Royal Street]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Royal Street Context triple: [Rue Royale, translationOfName, Royal Street]
-
A.
Royal Street
chosen
Royal Street is a historic, upscale thoroughfare in New Orleans’ French Quarter known for its art galleries, antique shops, elegant architecture, and street performers.
-
B.
Prince's Street
Prince's Street is a short street in the City of London, located in the historic financial district near the Bank of England.
-
C.
Princes Street
Princes Street is Edinburgh’s main shopping and thoroughfare street, famed for its views of Edinburgh Castle and the Old Town across Princes Street Gardens.
-
D.
Princesa Street
Princesa Street is a major thoroughfare in Madrid, Spain, known for its shops, cinemas, and connection between Plaza de España and the Argüelles area.
-
E.
Cathedral Street
Cathedral Street is a city-center thoroughfare that serves as a key pedestrian approach route to Exchange Square.
- 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_69ca847870a881909d8d751a7d29da39 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9898e0b48190a3e3f0f1616d5055 |
completed | April 1, 2026, 10:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d14c1f10748190a36d2092d593be97 |
completed | April 4, 2026, 5:36 p.m. |
Created at: March 30, 2026, 7:59 p.m.