Triple
T15274988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Topside |
E365113
|
entity |
| Predicate | hasNearbyArea |
P4647
|
FINISHED |
| Object | Middleside |
E365114
|
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: Middleside | Statement: [Topside, hasNearbyArea, Middleside]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Middleside Context triple: [Topside, hasNearbyArea, Middleside]
-
A.
Middleside
chosen
Middleside is a district or area within Fort Mills, historically associated with the British military presence on Hong Kong’s Stonecutters Island.
-
B.
Oughterside
Oughterside is a small village in Cumbria, England, situated within the borough of Allerdale.
-
C.
Mittelhaardt
Mittelhaardt is a renowned wine-growing area within Germany’s Palatinate (Pfalz) region, noted especially for its high-quality Riesling vineyards.
-
D.
Midgham
Midgham is a small village and civil parish in West Berkshire, England, situated near the town of Thatcham.
-
E.
Midgley
Midgley is a small village in West Yorkshire, England, known for its rural setting in the Calder Valley near Luddenden Foot.
- 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_69d85a0f08408190b3c3259ae35d79d2 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00952731c8190bf6a5e6e10c95b94 |
completed | April 15, 2026, 9:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fee6069f488190b74793200e5698ff |
completed | May 9, 2026, 7:45 a.m. |
Created at: April 10, 2026, 3:14 a.m.