Triple
T5895317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MPL 2.0 |
E131086
|
entity |
| Predicate | replaces |
P101
|
FINISHED |
| Object |
MPL 1.1
MPL 1.1 is an older version of the Mozilla Public License, a weak copyleft free and open-source software license created by the Mozilla Foundation.
|
E553144
|
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: MPL 1.1 | Statement: [MPL 2.0, replaces, MPL 1.1]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MPL 1.1 Context triple: [MPL 2.0, replaces, MPL 1.1]
-
A.
MPL 2.0
MPL 2.0 is a modern, file-level copyleft open-source software license created by Mozilla that balances protection of contributions with compatibility and flexibility for commercial use.
-
B.
MPL
MPL is the IATA airport code for Montpellier-Méditerranée Airport, serving the city of Montpellier in southern France.
-
C.
Apache License 1.1
Apache License 1.1 is an older, permissive open-source software license from the Apache Software Foundation that preceded and was later replaced by Apache License 2.0.
-
D.
MPL 16
MPL 16 is a modern automated rubber-tyred metro train used on Lyon’s Line B as part of the network’s upgraded driverless rolling stock.
-
E.
MPL 75
MPL 75 is a type of rubber-tyred, automated metro train used on the Lyon Metro system in France.
- 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: MPL 1.1 Triple: [MPL 2.0, replaces, MPL 1.1]
Generated description
MPL 1.1 is an older version of the Mozilla Public License, a weak copyleft free and open-source software license created by the Mozilla Foundation.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MPL 1.1 Target entity description: MPL 1.1 is an older version of the Mozilla Public License, a weak copyleft free and open-source software license created by the Mozilla Foundation.
-
A.
MPL 2.0
MPL 2.0 is a modern, file-level copyleft open-source software license created by Mozilla that balances protection of contributions with compatibility and flexibility for commercial use.
-
B.
MPL
MPL is the IATA airport code for Montpellier-Méditerranée Airport, serving the city of Montpellier in southern France.
-
C.
Apache License 1.1
Apache License 1.1 is an older, permissive open-source software license from the Apache Software Foundation that preceded and was later replaced by Apache License 2.0.
-
D.
MPL 16
MPL 16 is a modern automated rubber-tyred metro train used on Lyon’s Line B as part of the network’s upgraded driverless rolling stock.
-
E.
MPL 75
MPL 75 is a type of rubber-tyred, automated metro train used on the Lyon Metro system in France.
- 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_69c00857439c819095950754176aa58a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c036f3364c81909353f62ca483f24f |
completed | March 22, 2026, 6:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0b1558fa48190a6ecde69c1477863 |
completed | March 23, 2026, 3:19 a.m. |
| NEDg | Description generation | batch_69c0b2442bf881908aeaecb46463e32d |
completed | March 23, 2026, 3:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0b2bc8b9c8190ab642d317056b1de |
completed | March 23, 2026, 3:25 a.m. |
Created at: March 22, 2026, 3:58 p.m.