Triple
T16741140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RAEME |
E406835
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | RAEME |
E406835
|
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: RAEME | Statement: [RAEME, hasAbbreviation, RAEME]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RAEME Context triple: [RAEME, hasAbbreviation, RAEME]
-
A.
RAEME
chosen
RAEME is a corps of the Australian Army responsible for the maintenance, repair, and recovery of the Army’s electrical, mechanical, and electronic equipment.
-
B.
Nai Yaem
Nai Yaem is an actor known for his role in the early Thai film "Chang: A Drama of the Wilderness."
-
C.
Rymez
Rymez is a British music producer and songwriter best known for crafting chart-topping UK urban and pop hits.
-
D.
Sarahama
Sarahama is a small coastal settlement on Irabu Island in Okinawa Prefecture, Japan, known for its traditional island community and proximity to scenic beaches and coral reefs.
-
E.
REME
REME is a corps of the British Army responsible for the maintenance, repair, and recovery of the Army’s electrical and mechanical equipment.
- 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_69d8838ffb088190a0b11149929006bf |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e39c3e87348190acaf7c40e8f8b566 |
completed | April 18, 2026, 2:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a009d52d88081909695a08d00bd2257 |
completed | May 10, 2026, 2:59 p.m. |
Created at: April 10, 2026, 5:21 a.m.