Triple
T12132188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line 2 (Brussels Metro) |
E288959
|
entity |
| Predicate | servesStation |
P839
|
FINISHED |
| Object |
Madou
Madou is a Brussels Metro station on the city's rapid transit network, located near Madou Square in central Brussels.
|
E963958
|
NE FINISHED |
How this triple was built (4 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: Madou | Statement: [Line 2 (Brussels Metro), servesStation, Madou]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Madou Context triple: [Line 2 (Brussels Metro), servesStation, Madou]
-
A.
Modau
The Modau is a small river in the German state of Hesse that flows through the city of Darmstadt before joining the Rhine.
-
B.
Midouze
Midouze is a river in southwestern France that flows through the Landes region before joining the Adour.
-
C.
Modogashe
Modogashe is a small, remote town in northeastern Kenya known as a local trading and transit center in a semi-arid pastoral region.
-
D.
Muzna
Muzna was the mother of Abd al-Rahman III, the powerful 10th-century Umayyad ruler who became the first Caliph of Córdoba in al-Andalus.
-
E.
Mudon
Mudon is a master-planned residential community in Dubai known for its family-friendly environment, townhouses, and extensive amenities.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Madou Triple: [Line 2 (Brussels Metro), servesStation, Madou]
Generated description
Madou is a Brussels Metro station on the city's rapid transit network, located near Madou Square in central Brussels.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Madou Target entity description: Madou is a Brussels Metro station on the city's rapid transit network, located near Madou Square in central Brussels.
-
A.
Modau
The Modau is a small river in the German state of Hesse that flows through the city of Darmstadt before joining the Rhine.
-
B.
Midouze
Midouze is a river in southwestern France that flows through the Landes region before joining the Adour.
-
C.
Modogashe
Modogashe is a small, remote town in northeastern Kenya known as a local trading and transit center in a semi-arid pastoral region.
-
D.
Muzna
Muzna was the mother of Abd al-Rahman III, the powerful 10th-century Umayyad ruler who became the first Caliph of Córdoba in al-Andalus.
-
E.
Mudon
Mudon is a master-planned residential community in Dubai known for its family-friendly environment, townhouses, and extensive amenities.
- F. None of above. chosen
Provenance (5 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_69d6ab4b5e4c81909950b17151eb0951 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9158b34648190b5eecdf9b07fbb3f |
completed | April 10, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f68c8ee081908a0331805f62cb0d |
completed | May 2, 2026, 1:05 p.m. |
| NEDg | Description generation | batch_69f5fed2d57881908103ce89a365cdd4 |
completed | May 2, 2026, 1:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f600bcaf288190b6204f985d3be638 |
completed | May 2, 2026, 1:48 p.m. |
Created at: April 8, 2026, 9:49 p.m.