Triple
T15853638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Métropole Européenne de Lille |
E384400
|
entity |
| Predicate | containsAdministrativeTerritorialEntity |
P747
|
FINISHED |
| Object | Hem |
E472564
|
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: Hem | Statement: [Métropole Européenne de Lille, containsAdministrativeTerritorialEntity, Hem]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hem Context triple: [Métropole Européenne de Lille, containsAdministrativeTerritorialEntity, Hem]
-
A.
Hem
chosen
Hem is a suburban commune in northern France located near the city of Lille.
-
B.
HEMM
HEMM is the ICAO airport code for Marsa Matruh International Airport, a civil and military airport serving the coastal city of Mersa Matruh in Egypt.
-
C.
Hemiksem
Hemiksem is a municipality in the Belgian province of Antwerp, situated along the Rupel River and known for its historical abbey and industrial heritage.
-
D.
Hemis
Hemis is a village in the Ladakh region of northern India, best known for its ancient Buddhist monastery and vibrant annual Hemis Festival.
-
E.
Hemkade
Hemkade is a waterfront area near Amsterdam known for its industrial setting and event venues, accessible via the city's ferry network.
- 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_69d86da422088190aac39e32e6c68429 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e14cae96648190884a85f68b6e9fe1 |
completed | April 16, 2026, 8:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa14977408190815ef02cc54075cc |
completed | May 9, 2026, 9:04 p.m. |
Created at: April 10, 2026, 4:50 a.m.