Triple
T126502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal Spanish Academy |
E2561
|
entity |
| Predicate | hasChair |
P377
|
FINISHED |
| Object | Chair G |
E13991
|
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: Chair G | Statement: [Royal Spanish Academy, hasChair, Chair G]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chair G Context triple: [Royal Spanish Academy, hasChair, Chair G]
-
A.
Chair A
chosen
Chair A is one of the numbered academic seats of the Royal Spanish Academy, traditionally assigned to a distinguished scholar of the Spanish language.
-
B.
The Cabinet
The Cabinet is Japan’s executive branch body composed of the Prime Minister and other ministers, responsible for directing and overseeing the administration of the national government.
-
C.
First Chamber
The First Chamber is the upper house of the Dutch parliament, responsible for reviewing and approving legislation passed by the lower house.
-
D.
Porter
Porter is a transit station in Cambridge, Massachusetts that serves both MBTA commuter rail and Red Line subway services.
-
E.
Mr. Secretary
"Mr. Secretary" is the formal style of address traditionally used for the United States Secretary of State.
- 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_69a251b54ea88190b18281669f59b4c0 |
completed | Feb. 28, 2026, 2:23 a.m. |
| NER | Named-entity recognition | batch_69a25761e9248190a7205bfc36cb5c45 |
completed | Feb. 28, 2026, 2:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2b85e7e4881909322c67388d64247 |
completed | Feb. 28, 2026, 9:41 a.m. |
Created at: Feb. 28, 2026, 2:27 a.m.