Triple
T9523145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rue Royale |
E229693
|
entity |
| Predicate | runsTo |
P2127
|
FINISHED |
| Object |
Queen's Square
Queen's Square is a notable public square that serves as a key urban landmark and destination at the end of Rue Royale.
|
E795625
|
NE FINISHED |
How this triple was built (4 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: Queen's Square | Statement: [Rue Royale, runsTo, Queen's Square]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Queen's Square Context triple: [Rue Royale, runsTo, Queen's Square]
-
A.
Queen’s Square
Queen’s Square is a residential neighborhood within Belize City, Belize.
-
B.
Queen’s Square
Queen’s Square is a prominent public space and cultural focal point in downtown Galt, Cambridge, Ontario, known for hosting community events and gatherings.
-
C.
King’s Square
King’s Square is a historic public square in the town of St. George’s, Bermuda, known as a central gathering place surrounded by colonial-era buildings and maritime heritage sites.
-
D.
Queen Square
Queen Square is a historic public square located in the coastal city of Brunswick, Georgia.
-
E.
Queen Square
Queen Square is a historic garden square in the Bloomsbury district of central London, known for its Georgian architecture and nearby medical and academic institutions.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Queen's Square Triple: [Rue Royale, runsTo, Queen's Square]
Generated description
Queen's Square is a notable public square that serves as a key urban landmark and destination at the end of Rue Royale.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Queen's Square Target entity description: Queen's Square is a notable public square that serves as a key urban landmark and destination at the end of Rue Royale.
-
A.
Queen’s Square
Queen’s Square is a residential neighborhood within Belize City, Belize.
-
B.
Queen’s Square
chosen
Queen’s Square is a prominent public space and cultural focal point in downtown Galt, Cambridge, Ontario, known for hosting community events and gatherings.
-
C.
King’s Square
King’s Square is a historic public square in the town of St. George’s, Bermuda, known as a central gathering place surrounded by colonial-era buildings and maritime heritage sites.
-
D.
Queen Square
Queen Square is a historic public square located in the coastal city of Brunswick, Georgia.
-
E.
Queen Square
Queen Square is a historic garden square in the Bloomsbury district of central London, known for its Georgian architecture and nearby medical and academic institutions.
- F. None of above.
Provenance (5 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_69d13a61fbd08190bb68ffe29da3a34a |
completed | April 4, 2026, 4:20 p.m. |
| NEDg | Description generation | batch_69d13c0344388190aefc18936b17b9f0 |
completed | April 4, 2026, 4:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d13c7b2954819096a276e083d4fed1 |
completed | April 4, 2026, 4:29 p.m. |
Created at: March 30, 2026, 7:59 p.m.