Triple
T5962012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miquel Josep Serra i Ferrer |
E132660
|
entity |
| Predicate | hasFamilyName |
P18
|
FINISHED |
| Object | Serra |
E132661
|
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: Serra | Statement: [Miquel Josep Serra i Ferrer, hasFamilyName, Serra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Serra Context triple: [Miquel Josep Serra i Ferrer, hasFamilyName, Serra]
-
A.
Serra
chosen
Serra is a Spanish surname most famously associated with Junípero Serra, the 18th-century Franciscan friar who founded several missions in what is now California.
-
B.
Rocha
Rocha is a coastal department in southeastern Uruguay known for its beaches, lagoons, and ecotourism.
-
C.
Rocha
Rocha is a Portuguese-origin surname common in Lusophone countries and among their diasporas.
-
D.
Red Rocha
Red Rocha was an American professional basketball player and later coach who played as a center in the early years of the NBA, including for teams like the St. Louis Bombers and Syracuse Nationals.
-
E.
Serra de Santa Bárbara
Serra de Santa Bárbara is a volcanic peak on Terceira Island in the Azores, Portugal, known for its prominent elevation and surrounding natural reserve.
- 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_69c0086c2364819091e9fe2f58fa2517 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c039ff421c819085fc92f0b707d31b |
completed | March 22, 2026, 6:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0e3ee20648190badedf60a8bc938b |
completed | March 23, 2026, 6:55 a.m. |
Created at: March 22, 2026, 4:02 p.m.