Triple
T4456491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Manchester |
E97737
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Monsall |
E104744
|
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: Monsall | Statement: [North Manchester, contains, Monsall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Monsall Context triple: [North Manchester, contains, Monsall]
-
A.
Stoumont
Stoumont is a rural municipality in the province of Liège in eastern Belgium, known for its Ardennes landscapes and World War II Battle of the Bulge history.
-
B.
Lambermont
Lambermont is the official residence of the Prime Minister of Belgium, located in Brussels.
-
C.
Moston
chosen
Moston is a residential district in north Manchester, England, known for its mix of traditional terraced housing, local parks, and community amenities.
-
D.
Tesseney
Tesseney is a town in western Eritrea near the Sudanese border, serving as a local commercial and agricultural center in the Gash-Barka region.
-
E.
Sarsden
Sarsden is a small rural village in Oxfordshire, England, known for its historic manor house and picturesque countryside setting.
- 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_69b3454777808190b78aa9047ba1f018 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b356434e9481908f883c09e0908f6b |
completed | March 13, 2026, 12:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b6282743e08190a2c84f3b80c6d260 |
completed | March 15, 2026, 3:31 a.m. |
Created at: March 12, 2026, 11:33 p.m.