Triple
T21644054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shire of Cook |
E534169
|
entity |
| Predicate | includesLocality |
P45140
|
FINISHED |
| Object |
Laura
Laura is a small rural town and locality in Far North Queensland, Australia, known as a gateway to Cape York and for its significant Aboriginal rock art sites.
|
E1494353
|
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: Laura | Statement: [Shire of Cook, includesLocality, Laura]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laura Context triple: [Shire of Cook, includesLocality, Laura]
-
A.
Laura
Laura is a feminine given name of Latin origin, commonly used in many languages and cultures.
-
B.
Laura
Laura is a classic 1944 American film noir mystery celebrated for its sophisticated storytelling, atmospheric cinematography, and iconic score.
-
C.
Laura
"Laura" is a song by Billy Joel from his 1982 album *The Nylon Curtain*, known for its dark, emotionally complex lyrics and Beatles-influenced production.
-
D.
Laura
"Laura" is a notable work by Swedish author Maud Solveig Christina Wikström.
-
E.
Laura Jeanne
Laura Jeanne is the birth name of American actress and producer Reese Witherspoon, known for films like "Legally Blonde" and "Walk the Line."
- 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: Laura Triple: [Shire of Cook, includesLocality, Laura]
Generated description
Laura is a small rural town and locality in Far North Queensland, Australia, known as a gateway to Cape York and for its significant Aboriginal rock art sites.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Laura Target entity description: Laura is a small rural town and locality in Far North Queensland, Australia, known as a gateway to Cape York and for its significant Aboriginal rock art sites.
-
A.
Laura
Laura is a feminine given name of Latin origin, commonly used in many languages and cultures.
-
B.
Laura
Laura is a classic 1944 American film noir mystery celebrated for its sophisticated storytelling, atmospheric cinematography, and iconic score.
-
C.
Laura
"Laura" is a song by Billy Joel from his 1982 album *The Nylon Curtain*, known for its dark, emotionally complex lyrics and Beatles-influenced production.
-
D.
Laura
"Laura" is a notable work by Swedish author Maud Solveig Christina Wikström.
-
E.
Laura Jeanne
Laura Jeanne is the birth name of American actress and producer Reese Witherspoon, known for films like "Legally Blonde" and "Walk the Line."
- 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_69e0c466aec88190ba39c7543dbc8ba2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef5393ed388190a0bc385de2b861bf |
completed | April 27, 2026, 12:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a0fa44ca88190a8a55c1811edc5a1 |
completed | May 17, 2026, 6:57 p.m. |
| NEDg | Description generation | batch_6a0a10c284548190abb5a0075f85ec2c |
completed | May 17, 2026, 7:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a119cb17c8190a8732930b78b60cc |
completed | May 17, 2026, 7:06 p.m. |
Created at: April 16, 2026, 6:35 p.m.