Triple
T16659308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Banana Shire |
E404814
|
entity |
| Predicate | hasLocality |
P7943
|
FINISHED |
| Object |
Lawgi
Lawgi is a small rural locality within Queensland’s Banana Shire, known for its agricultural landscape and sparse population.
|
E1226495
|
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: Lawgi | Statement: [Banana Shire, hasLocality, Lawgi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lawgi Context triple: [Banana Shire, hasLocality, Lawgi]
-
A.
Legge
Legge is a surname most notably associated with Dorothy Haskell Porcher Legge, the Charleston preservationist credited with creating the iconic Rainbow Row of pastel-colored houses.
-
B.
Ley
Ley is an alternative spelling of the given name Leigh, used as a personal name or surname in English-speaking contexts.
-
C.
The Law
The Law is a prominent volcanic plug and hill in Dundee, Scotland, offering panoramic views over the city and the River Tay.
-
D.
The Law
The Law is a 1974 American television film, written by Joel Oliansky, that offers a dramatic, behind-the-scenes look at the workings of the criminal justice system.
-
E.
LEY
LEY is the IATA airport code for Lelystad Airport, a regional airport in the Netherlands.
- 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: Lawgi Triple: [Banana Shire, hasLocality, Lawgi]
Generated description
Lawgi is a small rural locality within Queensland’s Banana Shire, known for its agricultural landscape and sparse population.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lawgi Target entity description: Lawgi is a small rural locality within Queensland’s Banana Shire, known for its agricultural landscape and sparse population.
-
A.
Legge
Legge is a surname most notably associated with Dorothy Haskell Porcher Legge, the Charleston preservationist credited with creating the iconic Rainbow Row of pastel-colored houses.
-
B.
Ley
Ley is an alternative spelling of the given name Leigh, used as a personal name or surname in English-speaking contexts.
-
C.
The Law
The Law is a prominent volcanic plug and hill in Dundee, Scotland, offering panoramic views over the city and the River Tay.
-
D.
The Law
The Law is a 1974 American television film, written by Joel Oliansky, that offers a dramatic, behind-the-scenes look at the workings of the criminal justice system.
-
E.
LEY
LEY is the IATA airport code for Lelystad Airport, a regional airport in the Netherlands.
- 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_69d8838b5fbc81908c6575c132b82e80 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37bfcbb6881909c0419174dd017dc |
completed | April 18, 2026, 12:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0084ce7cf0819091e7a4de2cc010ea |
completed | May 10, 2026, 1:14 p.m. |
| NEDg | Description generation | batch_6a00862fe04481908bc114001357aea9 |
completed | May 10, 2026, 1:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00879d9f948190bdf40ff7be2505ff |
completed | May 10, 2026, 1:26 p.m. |
Created at: April 10, 2026, 5:18 a.m.