Triple
T8754279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Castells |
E208035
|
entity |
| Predicate | typicalLocation |
P3231
|
FINISHED |
| Object | Valls |
E639196
|
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: Valls | Statement: [Castells, typicalLocation, Valls]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Valls Context triple: [Castells, typicalLocation, Valls]
-
A.
Valls
chosen
Valls is a Spanish-origin surname notably borne by former French Prime Minister Manuel Valls.
-
B.
Paul Wallot
Paul Wallot was a German architect best known for designing Berlin’s iconic Reichstag building, the historic seat of the German parliament.
-
C.
Nunes
Nunes is a common Portuguese surname borne by numerous individuals, including athletes, politicians, and public figures in Portuguese-speaking countries.
-
D.
Lorenzo Mavilis
Lorenzo Mavilis was a Greek poet associated with the Ionian School and a patriot who died fighting in the Balkan Wars.
-
E.
Pedro Navarro
Pedro Navarro was a renowned early 16th-century Spanish military engineer and commander, famous for his innovative use of explosives and fortifications in the Italian Wars.
- 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_69ca835cd6b08190bd7c63db92f53c86 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5dd83088819082cf54adc0c04243 |
completed | March 31, 2026, 11:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf43305664819085e762e42b138754 |
completed | April 3, 2026, 4:33 a.m. |
Created at: March 30, 2026, 6:39 p.m.