Triple
T16618549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Margherita subdivision |
E403758
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Ledo |
E1223919
|
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: Ledo | Statement: [Margherita subdivision, hasSettlement, Ledo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ledo Context triple: [Margherita subdivision, hasSettlement, Ledo]
-
A.
Ledo
Ledo is a dialect of the Kaili language spoken by communities in Central Sulawesi, Indonesia.
-
B.
Ledo
chosen
Ledo is a town in Assam, India, historically known as the eastern terminus of the Indian Railways and the starting point of the World War II-era Stilwell Road.
-
C.
Ledo Kaili
Ledo Kaili is a major Austronesian language variety spoken by the Kaili people of Central Sulawesi, Indonesia.
-
D.
Eligh
Eligh is an American underground hip hop artist and producer best known as a member of the Living Legends collective and for his prolific solo and collaborative work.
-
E.
Laino
Laino is a small Italian municipality located in the Valle d’Intelvi area of the Lombardy region, near Lake Como.
- 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_69d883897eb481909eaaa088ba9918d9 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3754bc4cc8190a586732fc6507b40 |
completed | April 18, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a008a296a7481908aca94cf3d1f8d3b |
completed | May 10, 2026, 1:37 p.m. |
Created at: April 10, 2026, 5:17 a.m.