Triple
T12939151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Magazia |
E309592
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Lakka |
E309590
|
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: Lakka | Statement: [Magazia, locatedNear, Lakka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lakka Context triple: [Magazia, locatedNear, Lakka]
-
A.
Lakka
chosen
Lakka is a picturesque coastal village on the Greek island of Paxos, known for its sheltered bay, clear turquoise waters, and traditional Ionian architecture.
-
B.
Lakalai
Lakalai is an Oceanic language spoken by an indigenous community in Papua New Guinea.
-
C.
Lakon
Lakon is an Oceanic language spoken on the island of Gaua in northern Vanuatu.
-
D.
Sakaar
Sakaar is a chaotic, trash-covered planet ruled by the Grandmaster in the Marvel Cinematic Universe, known for its gladiatorial contests and bizarre cosmic detritus.
-
E.
Larak
Larak was an ancient Sumerian city-state, known primarily from the Sumerian King List as an early center of kingship in Mesopotamia.
- 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_69d7bdfa933c8190b5a27aa4a08a19b7 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97dc8c0848190946e109ec98e4479 |
completed | April 10, 2026, 10:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6b8d788b88190b161a41f85594fb8 |
completed | May 3, 2026, 2:54 a.m. |
Created at: April 9, 2026, 5:43 p.m.