Triple
T4108598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pudahuel |
E88513
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Lampa |
E145225
|
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: Lampa | Statement: [Pudahuel, borderedBy, Lampa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lampa Context triple: [Pudahuel, borderedBy, 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.
Lampada Ferens
Lampada Ferens is the Latin motto of the University of Hull, traditionally translated as "carrying the light" or "bearing the lamp."
-
C.
Lumo
Lumo is a British open-access train operator running low-cost, long-distance electric services on the East Coast Main Line between London and northeastern England.
-
D.
Miss K lamp
The Miss K lamp is a contemporary designer table lamp known for its translucent shade and soft, diffused light, created by renowned French designer Philippe Starck.
-
E.
Luz
Luz is a small coastal settlement on Graciosa Island in Portugal’s Azores archipelago.
- 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_69aed9484fb881909146f4c772ad277c |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af01da2b88819088a45401c0ec743a |
completed | March 9, 2026, 5:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b56b850d588190a0fc4b784bc7ca4f |
completed | March 14, 2026, 2:07 p.m. |
Created at: March 9, 2026, 3:40 p.m.