Triple
T9610175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen's Creek Cemetery |
E232076
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
Queen's Creek
Queen's Creek is a waterway whose name is commemorated by the nearby Queen's Creek Cemetery.
|
E813160
|
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 Creek | Statement: [Queen's Creek Cemetery, namedAfter, Queen's Creek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Queen's Creek Context triple: [Queen's Creek Cemetery, namedAfter, Queen's Creek]
-
A.
Killbuck Creek
Killbuck Creek is a stream in north-central Ohio that flows through several counties and serves as a tributary of the Walhonding River.
-
B.
Caledon Creek
Caledon Creek is a small watercourse in Ontario, Canada, that forms part of the Credit River watershed.
-
C.
Kingston Creek
Kingston Creek is a small stream in central Nevada that runs through the community of Kingston and its surrounding mountainous desert landscape.
-
D.
Humber Creek
Humber Creek is a small urban watercourse in Toronto, Ontario, that flows through residential and park areas before joining the Humber River.
-
E.
Highland Creek
Highland Creek is a residential neighbourhood in the eastern Toronto district of Scarborough, known for its ravine landscapes and proximity to the University of Toronto Scarborough campus.
- 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 Creek Triple: [Queen's Creek Cemetery, namedAfter, Queen's Creek]
Generated description
Queen's Creek is a waterway whose name is commemorated by the nearby Queen's Creek Cemetery.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Queen's Creek Target entity description: Queen's Creek is a waterway whose name is commemorated by the nearby Queen's Creek Cemetery.
-
A.
Killbuck Creek
Killbuck Creek is a stream in north-central Ohio that flows through several counties and serves as a tributary of the Walhonding River.
-
B.
Caledon Creek
Caledon Creek is a small watercourse in Ontario, Canada, that forms part of the Credit River watershed.
-
C.
Kingston Creek
Kingston Creek is a small stream in central Nevada that runs through the community of Kingston and its surrounding mountainous desert landscape.
-
D.
Humber Creek
Humber Creek is a small urban watercourse in Toronto, Ontario, that flows through residential and park areas before joining the Humber River.
-
E.
Highland Creek
Highland Creek is a residential neighbourhood in the eastern Toronto district of Scarborough, known for its ravine landscapes and proximity to the University of Toronto Scarborough campus.
- F. None of above. chosen
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_69ca8485a90c819094fe40b42fde9d70 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9a85d4c881909ccab2e972d97e68 |
completed | April 1, 2026, 10:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d189f4e994819088c55856bf79621d |
completed | April 4, 2026, 10 p.m. |
| NEDg | Description generation | batch_69d18acf86588190bc000f701bcaaa1c |
completed | April 4, 2026, 10:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d18ba396cc8190a3ded2ac3968c553 |
completed | April 4, 2026, 10:07 p.m. |
Created at: March 30, 2026, 8:08 p.m.