Triple
T21385634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aalst |
E527486
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Meldert
Meldert is a village in the Belgian city of Aalst, located in the province of East Flanders.
|
E1481439
|
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: Meldert | Statement: [Aalst, hasSubdivision, Meldert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Meldert Context triple: [Aalst, hasSubdivision, Meldert]
-
A.
Mulhuddart
Mulhuddart is a suburban residential area in west Dublin, Ireland, known for its mix of housing estates, local amenities, and proximity to major employment and retail centers.
-
B.
Merkert
Merkert is the namesake of the Merkert Chemistry Center, likely a notable figure associated with the field of chemistry or the institution that houses the center.
-
C.
Marloffstein
Marloffstein is a small municipality in the Erlangen-Höchstadt district of Bavaria, Germany, known for its rural character and proximity to the city of Erlangen.
-
D.
Melleyonnu
Melleyonnu is a popular Malayalam film song featured in the movie Ananthabhadram, known for its melodious composition and evocative visuals.
-
E.
Mulbring
Mulbring is a small rural locality in the Hunter Region of New South Wales, Australia, known for its village character and surrounding agricultural landscape.
- 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: Meldert Triple: [Aalst, hasSubdivision, Meldert]
Generated description
Meldert is a village in the Belgian city of Aalst, located in the province of East Flanders.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Meldert Target entity description: Meldert is a village in the Belgian city of Aalst, located in the province of East Flanders.
-
A.
Mulhuddart
Mulhuddart is a suburban residential area in west Dublin, Ireland, known for its mix of housing estates, local amenities, and proximity to major employment and retail centers.
-
B.
Merkert
Merkert is the namesake of the Merkert Chemistry Center, likely a notable figure associated with the field of chemistry or the institution that houses the center.
-
C.
Marloffstein
Marloffstein is a small municipality in the Erlangen-Höchstadt district of Bavaria, Germany, known for its rural character and proximity to the city of Erlangen.
-
D.
Melleyonnu
Melleyonnu is a popular Malayalam film song featured in the movie Ananthabhadram, known for its melodious composition and evocative visuals.
-
E.
Mulbring
Mulbring is a small rural locality in the Hunter Region of New South Wales, Australia, known for its village character and surrounding agricultural landscape.
- 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_69e0b51f363c8190944000ab5523b02b |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69ee62c9494081909efa74e189454dc6 |
completed | April 26, 2026, 7:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09b42852288190b2d92faee197aba6 |
completed | May 17, 2026, 12:27 p.m. |
| NEDg | Description generation | batch_6a09b5e6d1ac8190aeec88859d17d257 |
completed | May 17, 2026, 12:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09b699fef081909797a5fc50814cb9 |
completed | May 17, 2026, 12:37 p.m. |
Created at: April 16, 2026, 5:12 p.m.