Triple
T19095863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gran Santiago |
E467401
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Lampa |
—
|
NE NERFINISHED |
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: Lampa | Statement: [Gran Santiago, contains, Lampa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lampa Context triple: [Gran Santiago, contains, Lampa]
-
A.
Lampa
chosen
Lampa is a commune and town in central Chile known for its semi-rural character and growing residential and industrial development near Santiago.
-
B.
Lampa
Lampa is a town in southern Peru that serves as the capital of Lampa Province in the Puno Region, known for its colonial architecture and historic churches.
-
C.
Lampada Ferens
Lampada Ferens is the Latin motto of the University of Hull, traditionally translated as "carrying the light" or "bearing the lamp."
-
D.
Lampione
Lampione is a tiny, uninhabited rocky islet in the Mediterranean Sea, part of Italy’s Pelagie Islands and known for its rich marine life and popular diving spots.
-
E.
Abajur
Abajur is a conceptual artwork by Brazilian artist Cildo Meireles, known for its exploration of perception, space, and political or social commentary through immersive, often installation-based forms.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd05ac4c8190b1967d8f97f3fb2f |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e368f20c8190bd84d2ba320991ac |
completed | April 20, 2026, 8:27 a.m. |
Created at: April 10, 2026, 12:04 p.m.