Triple
T13303953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buje |
E316884
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Umag |
E314821
|
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: Umag | Statement: [Buje, locatedNear, Umag]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Umag Context triple: [Buje, locatedNear, Umag]
-
A.
Umag
chosen
Umag is a coastal town in northwestern Croatia known for its tourism, historic old town, and annual ATP tennis tournament.
-
B.
Badaguan
Badaguan is a scenic coastal area in Qingdao famous for its tree-lined streets, historic European-style villas, and popular seaside promenades.
-
C.
Utik
Utik was an ancient historical region in the South Caucasus, located on the frontier of Caucasian Albania and often contested by neighboring Armenian and Iberian kingdoms.
-
D.
Uma
Uma is an Austronesian language spoken primarily in Central Sulawesi, Indonesia.
-
E.
Uma
Uma is a central antagonist in Disney's "Descendants" franchise, known as the ambitious and strong-willed daughter of Ursula who leads a pirate crew on the Isle of the Lost.
- 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_69d806b40ab4819094adf6c374f4811a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d990a76adc8190ab9abcdb79a21ca8 |
completed | April 11, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f716e161008190a48275ef54225d56 |
completed | May 3, 2026, 9:35 a.m. |
Created at: April 9, 2026, 9:28 p.m.