Triple
T10182403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isabel de Farnesio |
E236818
|
entity |
| Predicate | deathPlace |
P21
|
FINISHED |
| Object | Aranjuez |
E112903
|
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: Aranjuez | Statement: [Isabel de Farnesio, deathPlace, Aranjuez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aranjuez Context triple: [Isabel de Farnesio, deathPlace, Aranjuez]
-
A.
Aranjuez
chosen
Aranjuez is a historic town in central Spain renowned for its royal palace, extensive gardens, and cultural heritage, and is located within the Community of Madrid.
-
B.
Jerez de los Caballeros
Jerez de los Caballeros is a historic town in the Extremadura region of southwestern Spain, known for its medieval architecture and association with several notable Spanish conquistadors.
-
C.
Almendralejo
Almendralejo is a town in the Spanish region of Extremadura known for its wine production and agricultural economy.
-
D.
Henares
Henares is a river in central Spain that flows through the Province of Guadalajara and is a tributary of the Jarama River.
-
E.
Alhué
Alhué is a rural commune and town in central Chile known for its agricultural activities and traditional countryside character within the Santiago Metropolitan Region.
- 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_69ca84d7260c8190bfbec36762943f37 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cded32b91c8190b01ad37b2456080a |
completed | April 2, 2026, 4:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7947e14c88190b9e33e3fbdcc16e5 |
completed | April 9, 2026, 11:58 a.m. |
Created at: March 30, 2026, 9:12 p.m.