Triple
T12050228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line 4–Yellow |
E286895
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Luz |
E967162
|
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: Luz | Statement: [Line 4–Yellow, hasStation, Luz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luz Context triple: [Line 4–Yellow, hasStation, Luz]
-
A.
Luz
Luz is a small coastal settlement on Graciosa Island in Portugal’s Azores archipelago.
-
B.
Luz
Luz is a historic neighborhood in Chennai, India, known for its cultural landmarks and proximity to the coastal Santhome area.
-
C.
Luz
chosen
Luz is a major railway and metro hub in São Paulo, Brazil, serving as a key interchange point for multiple urban transit lines.
-
D.
Luci
Luci is a diminutive form of the given name Luciana, often used as a familiar or affectionate nickname.
-
E.
Luce
Luce is a surname most notably associated with Henry Luce, the influential American magazine magnate and co-founder of Time Inc.
- 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_69d6ab4780948190bdb9f7620c2ac27e |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d904227958819084dbd5eb2566c735 |
completed | April 10, 2026, 2:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60a62f0fc8190a3d15ccfb23bb788 |
completed | May 2, 2026, 2:29 p.m. |
Created at: April 8, 2026, 9:47 p.m.