Triple
T1966833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chief of the Defence Staff of Spain |
E42706
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | JEMAD |
E220030
|
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: JEMAD | Statement: [Chief of the Defence Staff of Spain, hasAbbreviation, JEMAD]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: JEMAD Context triple: [Chief of the Defence Staff of Spain, hasAbbreviation, JEMAD]
-
A.
JEMAD
chosen
JEMAD is the Spanish acronym for the professional head of Spain’s Armed Forces, overseeing their strategic direction and operational command.
-
B.
JAM
JAM is the three-letter ISO 3166-1 alpha-3 country code assigned to Jamaica.
-
C.
JM
JM is the two-letter ISO 3166-1 alpha-2 country code assigned to Jamaica for international standardization and identification purposes.
-
D.
Al Jumum
Al Jumum is a town and governorate in western Saudi Arabia, situated near the holy city of Mecca in the Makkah administrative region.
-
E.
Jarma
Jarma is a feminine given name most notably borne by American actress Jarma Lewis.
- 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_69a88711151c8190940b2572095059d7 |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb3cd47388190998b5f6800141c92 |
completed | March 7, 2026, 5:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae03211fe48190b70814bdd35e8a6b |
completed | March 8, 2026, 11:15 p.m. |
Created at: March 4, 2026, 7:36 p.m.