Triple
T14138419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Plantà |
E350358
|
entity |
| Predicate | occursBefore |
P11124
|
FINISHED |
| Object | La Cremà |
E350356
|
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: La Cremà | Statement: [La Plantà, occursBefore, La Cremà]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Cremà Context triple: [La Plantà, occursBefore, La Cremà]
-
A.
La Cremà
chosen
La Cremà is the climactic night of Valencia’s Las Fallas festival when the elaborate fallas monuments are dramatically burned in large public bonfires.
-
B.
La Grave
La Grave is a high-altitude village and renowned off-piste ski and mountaineering destination in the French Alps.
-
C.
Cremà
Cremà is the climactic night-time burning of the elaborate Falles festival monuments in Valencia, marking the fiery end of the celebrations.
-
D.
Montescaglioso
Montescaglioso is a historic hill town in the Basilicata region of southern Italy, known for its medieval architecture and ancient monastic complexes.
-
E.
Gravedona
Gravedona is a picturesque town on the shores of Lake Como in northern Italy, known for its historic churches and scenic lakeside setting.
- 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_69de6111a36081909beff35c88a56960 |
completed | April 14, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcf7e655908190bf81dcbad1b10292 |
completed | May 7, 2026, 8:36 p.m. |
Created at: April 10, 2026, 12:39 a.m.