Triple
T9910012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lommel |
E185115
|
entity |
| Predicate | borderWith |
P224
|
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: [Lommel, borderWith, Mol]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mol Context triple: [Lommel, borderWith, Mol]
-
A.
Mol
chosen
Mol is a municipality in the Belgian region of Flanders known for its lakes, nature reserves, and recreational tourism.
-
B.
Molek
Molek is a deity from ancient Near Eastern religions, often associated with child sacrifice and condemned in the Hebrew Bible.
-
C.
MOLIT
MOLIT is the South Korean government ministry responsible for national land planning, transportation systems, infrastructure development, and urban policy.
-
D.
IT-MOL
IT-MOL is the Italian region code for Molise, a small region in southern Italy.
-
E.
MOF
MOF is the commonly used abbreviation for Japan’s Ministry of Finance, the government body responsible for national fiscal and economic policy.
- 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_69ca8296165881908ca4750701af1f29 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb51184d08190a0350f2722110811 |
completed | April 2, 2026, 12:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d20db5979081909b8e292ac6bb7c2f |
completed | April 5, 2026, 7:22 a.m. |
Created at: March 30, 2026, 8:41 p.m.