Triple
T11550114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | STIB-MIVB |
E273867
|
entity |
| Predicate | fareMedium |
P1303
|
FINISHED |
| Object |
Mobib card
The Mobib card is a rechargeable smartcard used as an electronic ticketing system for public transport in Brussels and other parts of Belgium.
|
E932658
|
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: Mobib card | Statement: [STIB-MIVB, fareMedium, Mobib card]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mobib card Context triple: [STIB-MIVB, fareMedium, Mobib card]
-
A.
Mifi
Mifi is a department in Cameroon's West Region, serving as an administrative division with its own local governance and population centers.
-
B.
T-Mo
T-Mo is an American rapper best known as a member of the Atlanta hip hop group Goodie Mob and the larger Dungeon Family collective.
-
C.
MTN
MTN is the IATA airport code for Martin State Airport, a public airport serving the Baltimore, Maryland area.
-
D.
MTN
MTN is the stock ticker symbol for Vail Resorts, a major operator of ski resorts and mountain recreation properties.
-
E.
Metcard
Metcard was Melbourne’s former magnetic stripe ticketing system used for public transport before the introduction of the Myki smartcard.
- 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: Mobib card Triple: [STIB-MIVB, fareMedium, Mobib card]
Generated description
The Mobib card is a rechargeable smartcard used as an electronic ticketing system for public transport in Brussels and other parts of Belgium.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mobib card Target entity description: The Mobib card is a rechargeable smartcard used as an electronic ticketing system for public transport in Brussels and other parts of Belgium.
-
A.
Mifi
Mifi is a department in Cameroon's West Region, serving as an administrative division with its own local governance and population centers.
-
B.
T-Mo
T-Mo is an American rapper best known as a member of the Atlanta hip hop group Goodie Mob and the larger Dungeon Family collective.
-
C.
MTN
MTN is the IATA airport code for Martin State Airport, a public airport serving the Baltimore, Maryland area.
-
D.
MTN
MTN is the stock ticker symbol for Vail Resorts, a major operator of ski resorts and mountain recreation properties.
-
E.
Metcard
Metcard was Melbourne’s former magnetic stripe ticketing system used for public transport before the introduction of the Myki smartcard.
- 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_69d6aae4dfa48190a3ab0b19a159a3c5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d88a83f1e88190aabf11a4c8a6c9e5 |
completed | April 10, 2026, 5:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e6e8396ed081909bdf381db3dacd62 |
completed | April 21, 2026, 3 a.m. |
| NEDg | Description generation | batch_69e6ef8fca248190bc2fdd8457258874 |
completed | April 21, 2026, 3:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e6f9144afc819081ee7f78e32ad39a |
completed | April 21, 2026, 4:12 a.m. |
Created at: April 8, 2026, 9:37 p.m.