Triple
T4822905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fairwater |
E107750
|
entity |
| Predicate | hasNeighbouringArea |
P17964
|
FINISHED |
| Object | Greenmeadow |
E107751
|
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: Greenmeadow | Statement: [Fairwater, hasNeighbouringArea, Greenmeadow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Greenmeadow Context triple: [Fairwater, hasNeighbouringArea, Greenmeadow]
-
A.
Greenmeadow
chosen
Greenmeadow is a residential neighbourhood within the town of Cwmbran in South Wales.
-
B.
Meadow Garden
Meadow Garden is a naturalistic, meadow-inspired landscape area within Olbrich Botanical Gardens that showcases prairie-style plantings and seasonal wildflower displays.
-
C.
Blake Meadows
Blake Meadows is the son of former White House Chief of Staff and U.S. Representative Mark Meadows.
-
D.
Long Meadow
Long Meadow is a vast, uninterrupted stretch of open lawn in Brooklyn’s Prospect Park, known as one of the longest continuous meadows in any U.S. urban park.
-
E.
Broadmeadow
Broadmeadow is a suburb and major railway junction in Newcastle, New South Wales, Australia.
- 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_69bd43f9efa081908314cb3e94fa1695 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6caa95ec8190bea525dbf3a00477 |
completed | March 20, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be4dc6ddcc8190903c0737476bbe36 |
completed | March 21, 2026, 7:50 a.m. |
Created at: March 20, 2026, 1:24 p.m.