Triple
T9587649
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Jacetania |
E231331
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object | Ansó |
E555123
|
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: Ansó | Statement: [La Jacetania, containsTown, Ansó]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ansó Context triple: [La Jacetania, containsTown, Ansó]
-
A.
Arnalta
Arnalta is a comic nurse character in Claudio Monteverdi’s opera "L'incoronazione di Poppea," known for her earthy wisdom and humorous commentary.
-
B.
Asúnsolo
Asúnsolo is the Basque-origin surname of Mexican-born Hollywood and Mexican cinema star Dolores del Río.
-
C.
Abó
Abó is a historic 17th-century Spanish mission and earlier Pueblo Indian village site in central New Mexico, known for its well-preserved ruins and role in the Salinas Pueblo Missions National Monument.
-
D.
Aínsa
chosen
Aínsa is a historic medieval town in northeastern Spain, renowned for its well-preserved old quarter and hilltop castle overlooking the Pyrenees.
-
E.
Arjona
Arjona is a Spanish-origin surname shared by various notable individuals in fields such as entertainment, sports, and the arts.
- 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_69ca848161688190a68d514a0a9d5129 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd99f01ca08190afaa44645a58e918 |
completed | April 1, 2026, 10:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1618251c48190886190975dfde5ac |
completed | April 4, 2026, 7:07 p.m. |
Created at: March 30, 2026, 8:06 p.m.