Triple
T17027218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Srbobran municipality |
E413096
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Nadalj |
E1229603
|
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: Nadalj | Statement: [Srbobran municipality, containsSettlement, Nadalj]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nadalj Context triple: [Srbobran municipality, containsSettlement, Nadalj]
-
A.
Nadalj
chosen
Nadalj is a village in northern Serbia, situated within the municipality of Srbobran in the autonomous province of Vojvodina.
-
B.
Sebastián Nadal
Sebastián Nadal is a Spanish businessman best known as the father of tennis champion Rafael Nadal.
-
C.
Rosario Nadal
Rosario Nadal is a Spanish former model and art consultant known for her marriage into the former Bulgarian royal family as the wife of Prince Kyril of Bulgaria.
-
D.
Toni Nadal
Toni Nadal is a Spanish tennis coach best known for mentoring his nephew Rafael Nadal from childhood to multiple Grand Slam titles and shaping his mental toughness and playing style.
-
E.
Novak
Novak is a common Slavic surname borne by numerous notable individuals across fields such as sports, entertainment, and politics.
- 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_69d886cc4170819093deddc7b8b4b6a7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d5d5ed388190871aa738cac04b65 |
completed | April 18, 2026, 7:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a011b53306081908972a0a5db474b6c |
completed | May 10, 2026, 11:57 p.m. |
Created at: April 10, 2026, 5:33 a.m.