Triple
T34730312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brisbane Northside |
E1001189
|
entity |
| Predicate | hasResidentialSuburb |
P9064
|
FINISHED |
| Object |
Chermside
Chermside is a major residential and commercial suburb on Brisbane's northside, known for its large shopping centre and transport hub.
|
E2110179
|
NE FINISHED |
How this triple was built (3 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: Chermside | Statement: [Brisbane Northside, hasResidentialSuburb, Chermside]
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: Chermside Triple: [Brisbane Northside, hasResidentialSuburb, Chermside]
Generated description
Chermside is a major residential and commercial suburb on Brisbane's northside, known for its large shopping centre and transport hub.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasResidentialSuburb Context triple: [Brisbane Northside, hasResidentialSuburb, Chermside]
-
A.
isResidentialSuburbOf
Indicates that one area is a residential suburb that is part of or lies within the urban region of another area.
-
B.
isSuburbanResidentialArea
Indicates that a location is primarily a residential neighborhood situated in a suburban (non-urban, non-rural) setting.
-
C.
hasSuburbanZone
Indicates that an entity includes or is associated with a suburban area within its spatial or administrative extent.
-
D.
hasResidentialArea
chosen
Indicates that an entity includes, contains, or is associated with an area designated for people to live or reside.
-
E.
hasMajorSuburb
Indicates that a larger urban area includes or is associated with a specific major suburb within its boundaries or sphere.
- F. None of above.
Provenance (6 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_69f76daeb6e48190a4c9a6b0edc80f72 |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_6a037c8c34f88190ace26f555827f23e |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a375beb79148190ab3801252894d369 |
completed | June 21, 2026, 3:35 a.m. |
| NEDg | Description generation | batch_6a375d8be710819093766d7c9b7fc5dd |
completed | June 21, 2026, 3:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a375e54876c819090b0073c6ded34ec |
completed | June 21, 2026, 3:45 a.m. |
| PD | Predicate disambiguation | batch_6a0379fd7aac8190873077e63873aa72 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 3:59 p.m.