Triple
T11373483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nakanai |
E269402
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object | Lakalai |
E715718
|
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: Lakalai | Statement: [Nakanai, alternativeName, Lakalai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lakalai Context triple: [Nakanai, alternativeName, Lakalai]
-
A.
Lakalai
chosen
Lakalai is an Oceanic language spoken by an indigenous community in Papua New Guinea.
-
B.
Lakamadi
Lakamadi is a regional dialect of the Moru language spoken by Moru communities in South Sudan.
-
C.
Liluah
Liluah is a suburban locality in the Howrah district of West Bengal, India, known for its residential areas and railway facilities near Kolkata.
-
D.
Lalan
Lalan was a Chinese-born French painter, composer, and dancer known for her abstract, lyrical works and her close association with the postwar Paris art scene.
-
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_69d6aacca1048190b39dbbc2174616fa |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7ea8d244c8190b865260338edb532 |
completed | April 9, 2026, 6:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5568e3e108190ab843236b417f150 |
completed | April 19, 2026, 10:26 p.m. |
Created at: April 8, 2026, 9:33 p.m.