Triple
T17307680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Corps of Electronics and Mechanical Engineers |
E420205
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
EME
EME is the Corps of Electronics and Mechanical Engineers, a technical branch of the Indian Army responsible for the maintenance, repair, and recovery of military equipment and weapon systems.
|
E1261871
|
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: EME | Statement: [Corps of Electronics and Mechanical Engineers, abbreviation, EME]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EME Context triple: [Corps of Electronics and Mechanical Engineers, abbreviation, EME]
-
A.
EME
EME is the abbreviated name for the Spanish Army Staff, the top command and planning body of Spain’s land forces.
-
B.
EMM
EMM is a peer-reviewed scientific journal focusing on translational and molecular medicine research.
-
C.
EMB
EMB is the Environmental Management Bureau, a government agency responsible for formulating and enforcing environmental policies, regulations, and programs.
-
D.
Emm
Emm is the surname associated with Richard Dawson, indicating his family name or ancestral lineage.
-
E.
EMAs
The EMAs are MTV's annual Europe Music Awards ceremony celebrating popular music artists and performances, primarily targeting a European and global youth audience.
- 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: EME Triple: [Corps of Electronics and Mechanical Engineers, abbreviation, EME]
Generated description
EME is the Corps of Electronics and Mechanical Engineers, a technical branch of the Indian Army responsible for the maintenance, repair, and recovery of military equipment and weapon systems.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: EME Target entity description: EME is the Corps of Electronics and Mechanical Engineers, a technical branch of the Indian Army responsible for the maintenance, repair, and recovery of military equipment and weapon systems.
-
A.
EME
EME is the abbreviated name for the Spanish Army Staff, the top command and planning body of Spain’s land forces.
-
B.
EMM
EMM is a peer-reviewed scientific journal focusing on translational and molecular medicine research.
-
C.
EMB
EMB is the Environmental Management Bureau, a government agency responsible for formulating and enforcing environmental policies, regulations, and programs.
-
D.
Emm
Emm is the surname associated with Richard Dawson, indicating his family name or ancestral lineage.
-
E.
EMAs
The EMAs are MTV's annual Europe Music Awards ceremony celebrating popular music artists and performances, primarily targeting a European and global youth audience.
- 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_69d889d22b848190a4663d0b8f8f76e7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4390005dc81908345ebb6dd970582 |
completed | April 19, 2026, 2:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0180e30934819087b7c838c8874aff |
completed | May 11, 2026, 7:10 a.m. |
| NEDg | Description generation | batch_6a0185a7e5188190a15d835019fc226f |
completed | May 11, 2026, 7:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0186504460819097f80978b03c7296 |
completed | May 11, 2026, 7:33 a.m. |
Created at: April 10, 2026, 5:43 a.m.