Triple
T1338426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OV-chipkaart |
E28408
|
entity |
| Predicate | usedByOperator |
P22525
|
FINISHED |
| Object |
RET
RET is a public transport company operating buses, trams, and metro services in and around Rotterdam in the Netherlands.
|
E153683
|
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: RET | Statement: [OV-chipkaart, usedByOperator, RET]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RET Context triple: [OV-chipkaart, usedByOperator, RET]
-
A.
RE
RE is the common abbreviation for the British Army’s Corps of Royal Engineers, responsible for military engineering and technical support.
-
B.
RE
RE is the abbreviation for RegioExpress, a category of regional express trains commonly used in European rail transport.
-
C.
RE
RE is the two-letter ISO 3166-1 alpha-2 country code assigned to the French overseas department and region of Réunion.
-
D.
REN
REN is a blockchain-based project and protocol focused on enabling cross-chain liquidity and interoperability between different cryptocurrency networks.
-
E.
DET
DET is the standard NHL abbreviation for the Detroit Red Wings professional ice hockey team.
- 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: RET Triple: [OV-chipkaart, usedByOperator, RET]
Generated description
RET is a public transport company operating buses, trams, and metro services in and around Rotterdam in the Netherlands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: RET Target entity description: RET is a public transport company operating buses, trams, and metro services in and around Rotterdam in the Netherlands.
-
A.
RE
RE is the common abbreviation for the British Army’s Corps of Royal Engineers, responsible for military engineering and technical support.
-
B.
RE
RE is the abbreviation for RegioExpress, a category of regional express trains commonly used in European rail transport.
-
C.
RE
RE is the two-letter ISO 3166-1 alpha-2 country code assigned to the French overseas department and region of Réunion.
-
D.
REN
REN is a blockchain-based project and protocol focused on enabling cross-chain liquidity and interoperability between different cryptocurrency networks.
-
E.
DET
DET is the standard NHL abbreviation for the Detroit Red Wings professional ice hockey team.
- 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_69a49854eb3481908c7d56b2e449a290 |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c2115d388190b031ae2de1296f8a |
completed | March 1, 2026, 10:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acc62e4c788190824df2a9b81692d7 |
completed | March 8, 2026, 12:43 a.m. |
| NEDg | Description generation | batch_69acc6ae66408190bf48fe3150a08116 |
completed | March 8, 2026, 12:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69acc73b92248190b723cb64046799e3 |
completed | March 8, 2026, 12:47 a.m. |
Created at: March 1, 2026, 7:56 p.m.