Triple
T13100422
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2nd Foreign Infantry Regiment |
E310702
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | 2e REI |
E1020278
|
NE FINISHED |
How this triple was built (2 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: 2e REI | Statement: [2nd Foreign Infantry Regiment, nickname, 2e REI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 2e REI Context triple: [2nd Foreign Infantry Regiment, nickname, 2e REI]
-
A.
2e REI
chosen
2e REI is a regiment of the French Foreign Legion renowned for its infantry combat role and deployments in overseas operations.
-
B.
2REI
2REI is a regiment of the French Foreign Legion specializing in infantry operations, known for its rigorous training and deployments in overseas missions.
-
C.
E-2A
E-2A was the Soviet spacecraft bus platform used for early Luna missions such as Luna 3, which photographed the Moon’s far side.
-
D.
Reen
Reen is a shortened or familiar form of the given name Maureen.
-
E.
E22
E22 is a major European route that forms part of the international E-road network, linking multiple countries across Europe.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d806a872d08190a329806f8ff30df4 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d981515d488190908d3cca1b84a42d |
completed | April 10, 2026, 11:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6e275df6c819096bb59e64df35216 |
completed | May 3, 2026, 5:51 a.m. |
Created at: April 9, 2026, 9:04 p.m.