Triple
T14134875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andrés Pico |
E350264
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Pico |
E122364
|
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: Pico | Statement: [Andrés Pico, familyName, Pico]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pico Context triple: [Andrés Pico, familyName, Pico]
-
A.
Pico
chosen
Pico is the family name of Giovanni Pico della Mirandola, the influential Italian Renaissance philosopher famed for his "Oration on the Dignity of Man."
-
B.
Pico
Pico is a Portuguese island in the Azores archipelago, best known for its towering volcanic mountain and UNESCO-listed vineyard landscape.
-
C.
Pico Mountain
Pico Mountain is a popular ski and snowboard resort in Vermont’s Green Mountains, known for its varied terrain and family-friendly atmosphere.
-
D.
Pico Cilindro
Pico Cilindro is a prominent peak in the central Pyrenees, located in the Monte Perdido massif on the border between Spain and France.
-
E.
Pico la Virgen
Pico la Virgen is one of the principal summits of Cerro de la Silla, the iconic mountain overlooking Monterrey in northeastern Mexico.
- 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_69d827865f608190b311820428ae027b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de610e949c8190852d336c9d12bfd0 |
completed | April 14, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcdf14439c81908b2a9999a35cc346 |
completed | May 7, 2026, 6:51 p.m. |
Created at: April 9, 2026, 11:57 p.m.