Triple
T6112836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Songsong |
E136286
|
entity |
| Predicate | locatedOn |
P40
|
FINISHED |
| Object | Luta |
E136286
|
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: Luta | Statement: [Songsong, locatedOn, Luta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luta Context triple: [Songsong, locatedOn, Luta]
-
A.
Luta
chosen
Luta is an alternative name for the island of Rota in the Northern Mariana Islands, a U.S. commonwealth in the western Pacific Ocean.
-
B.
Tiagu
Tiagu is an alternative spelling variant of the given name Tiago, commonly used in Portuguese-speaking contexts.
-
C.
Viau
Viau is a Montreal Metro station located in the Mercier–Hochelaga-Maisonneuve borough, serving the Green Line near the Olympic Stadium and related attractions.
-
D.
Dumbéa
Dumbéa is a suburban commune of Greater Nouméa in New Caledonia, known for its rapid urban growth and mix of residential areas and natural river valleys.
-
E.
Fiambalá
Fiambalá is a small town in northwestern Argentina known for its high-altitude vineyards, desert landscapes, and nearby Andean mountain passes.
- 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_69c0089ea6f88190b349be53e04b4f5f |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05bbde2048190909aa3a8097bcf93 |
completed | March 22, 2026, 9:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1359ed8608190a99c9e5b0f384c63 |
completed | March 23, 2026, 12:44 p.m. |
Created at: March 22, 2026, 4:14 p.m.