Triple
T15105579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Macarthur region |
E360779
|
entity |
| Predicate | hasSuburb |
P747
|
FINISHED |
| Object | Leumeah |
E1084058
|
NE FINISHED |
How this triple was built (2 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: Leumeah | Statement: [Macarthur region, hasSuburb, Leumeah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leumeah Context triple: [Macarthur region, hasSuburb, Leumeah]
-
A.
Leumeah
chosen
Leumeah is a residential suburb in the Macarthur region of Sydney, New South Wales, known for its railway station and proximity to Campbelltown.
-
B.
Maumere
Maumere is a coastal town and major port on the island of Flores in Indonesia, known as an important regional center and gateway to nearby diving spots and natural attractions.
-
C.
Kaikohe
Kaikohe is a small inland town in New Zealand known as the commercial and service hub of the Far North district.
-
D.
Ke‘anae
Ke‘anae is a small, historic Hawaiian village on Maui’s rugged north shore, known for its taro fields, dramatic lava-rock coastline, and scenic ocean views.
-
E.
Papanui
Papanui is a suburb and former parliamentary electorate in Christchurch, New Zealand.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d85a0491ec8190830960be8fafb994 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00588f35481909674f161bf0f3918 |
completed | April 15, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feb7e6fc7c8190b517a7daa567d67c |
completed | May 9, 2026, 4:28 a.m. |
Created at: April 10, 2026, 3:05 a.m.