Triple
T9259378
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tienen |
E222533
|
entity |
| Predicate | hasFrenchName |
P744
|
FINISHED |
| Object |
Tirlemont
Tirlemont is the French name for Tienen, a historic city in the Flemish Brabant province of Belgium known for its sugar industry.
|
E788970
|
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: Tirlemont | Statement: [Tienen, hasFrenchName, Tirlemont]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tirlemont Context triple: [Tienen, hasFrenchName, Tirlemont]
-
A.
Moensberg
Moensberg is a residential neighborhood in the municipality of Uccle in the Brussels-Capital Region of Belgium.
-
B.
Lannesdorf
Lannesdorf is a residential subdistrict of the Bad Godesberg borough in the city of Bonn, Germany.
-
C.
Malmedy
Malmedy is a historic town and municipality in eastern Belgium, known for its Ardennes setting, traditional carnival, and proximity to the Battle of the Bulge sites.
-
D.
Schorisse
Schorisse is a village in East Flanders, Belgium, that now forms part of the municipality of Maarkedal.
-
E.
Drimmelen
Drimmelen is a municipality and village in the southern Netherlands, known for its historic harbor and as a gateway to the Biesbosch National Park.
- 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: Tirlemont Triple: [Tienen, hasFrenchName, Tirlemont]
Generated description
Tirlemont is the French name for Tienen, a historic city in the Flemish Brabant province of Belgium known for its sugar industry.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tirlemont Target entity description: Tirlemont is the French name for Tienen, a historic city in the Flemish Brabant province of Belgium known for its sugar industry.
-
A.
Moensberg
Moensberg is a residential neighborhood in the municipality of Uccle in the Brussels-Capital Region of Belgium.
-
B.
Lannesdorf
Lannesdorf is a residential subdistrict of the Bad Godesberg borough in the city of Bonn, Germany.
-
C.
Malmedy
Malmedy is a historic town and municipality in eastern Belgium, known for its Ardennes setting, traditional carnival, and proximity to the Battle of the Bulge sites.
-
D.
Schorisse
Schorisse is a village in East Flanders, Belgium, that now forms part of the municipality of Maarkedal.
-
E.
Drimmelen
Drimmelen is a municipality and village in the southern Netherlands, known for its historic harbor and as a gateway to the Biesbosch National Park.
- 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_69ca841e4cd481908e738c74e958eaea |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd0714317481908405f857a4f49e74 |
completed | April 1, 2026, 11:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d09bf225608190ade085302946dd8f |
completed | April 4, 2026, 5:04 a.m. |
| NEDg | Description generation | batch_69d09dc3ccb08190a70e278a67249070 |
completed | April 4, 2026, 5:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d09e3f211c819087b9e75f0d8faf93 |
completed | April 4, 2026, 5:14 a.m. |
Created at: March 30, 2026, 7:32 p.m.