Triple
T5749738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Antwerp Province |
E126820
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Mol |
E543566
|
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: Mol | Statement: [Antwerp Province, hasMunicipality, Mol]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mol Context triple: [Antwerp Province, hasMunicipality, Mol]
-
A.
Mol
chosen
Mol is a municipality in the Belgian region of Flanders known for its lakes, nature reserves, and recreational tourism.
-
B.
MOF
MOF is the commonly used abbreviation for Japan’s Ministry of Finance, the government body responsible for national fiscal and economic policy.
-
C.
Milorg
Milorg was the main Norwegian military resistance organization during World War II, coordinating sabotage, intelligence, and preparations for liberation under German occupation.
-
D.
MSO
MSO is the National Rail station code for Moston railway station in Greater Manchester, England.
-
E.
Molten
Molten is a Japanese sports equipment manufacturer best known for producing high-quality balls used in major international competitions across football, basketball, and other sports.
- 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_69c00832aedc81909899801b141fa3b4 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0288870fc819080e883c9d589359b |
completed | March 22, 2026, 5:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c097fcba40819097543d151b890788 |
completed | March 23, 2026, 1:31 a.m. |
Created at: March 22, 2026, 3:48 p.m.