Triple
T7620368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arrondissement of Antwerp |
E172475
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Lint
Lint is a small municipality in the Belgian province of Antwerp, known for its residential character and proximity to the city of Antwerp.
|
E676441
|
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: Lint | Statement: [Arrondissement of Antwerp, contains, Lint]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lint Context triple: [Arrondissement of Antwerp, contains, Lint]
-
A.
lint
lint is a static code analysis tool that detects potential errors, bugs, and style issues in C source code before compilation or execution.
-
B.
LIN
LIN is the three-letter IATA airport code for Milan Linate Airport, one of the main airports serving Milan, Italy.
-
C.
Len
Len is a common shortened form of the given name Leonard.
-
D.
Lt
Lt is the standard military abbreviation for the commissioned officer rank of Lieutenant in the Australian Army.
-
E.
LT
LT is a mid-level trim designation commonly used by Chevrolet to denote a better-equipped, more comfort- and feature-focused version of its vehicles.
- 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: Lint Triple: [Arrondissement of Antwerp, contains, Lint]
Generated description
Lint is a small municipality in the Belgian province of Antwerp, known for its residential character and proximity to the city of Antwerp.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lint Target entity description: Lint is a small municipality in the Belgian province of Antwerp, known for its residential character and proximity to the city of Antwerp.
-
A.
lint
lint is a static code analysis tool that detects potential errors, bugs, and style issues in C source code before compilation or execution.
-
B.
LIN
LIN is the three-letter IATA airport code for Milan Linate Airport, one of the main airports serving Milan, Italy.
-
C.
Len
Len is a common shortened form of the given name Leonard.
-
D.
Lt
Lt is the standard military abbreviation for the commissioned officer rank of Lieutenant in the Australian Army.
-
E.
LT
LT is a mid-level trim designation commonly used by Chevrolet to denote a better-equipped, more comfort- and feature-focused version of its vehicles.
- 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_69c699506b308190826894dab1d9ea86 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6fa62870c8190b17f44eb7a3ff2ad |
completed | March 27, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c86874d5e48190a07c48f667fb8f6e |
completed | March 28, 2026, 11:47 p.m. |
| NEDg | Description generation | batch_69c868d21b688190ba2f6ad849f4bde5 |
completed | March 28, 2026, 11:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c869d14ae08190b2742af3878333e6 |
completed | March 28, 2026, 11:52 p.m. |
Created at: March 27, 2026, 3:55 p.m.