Triple
T16087376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lima road network |
E390266
|
entity |
| Predicate | connectedTo |
P37
|
FINISHED |
| Object | Carretera Central |
E423502
|
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: Carretera Central | Statement: [Lima road network, connectedTo, Carretera Central]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carretera Central Context triple: [Lima road network, connectedTo, Carretera Central]
-
A.
Carretera Central
Carretera Central is a major Cuban highway that runs the length of the island, connecting key cities and provinces, including Pinar del Río.
-
B.
Carretera Central
chosen
Carretera Central is a major Peruvian highway that connects Lima with the country’s central highlands and interior regions.
-
C.
Avenida Central
Avenida Central is a major thoroughfare in the district of Carmen, known for its central location and urban activity.
-
D.
Ortega Highway
Ortega Highway is a scenic and winding mountain road in Southern California that connects Orange and Riverside counties through the Santa Ana Mountains.
-
E.
Avenida Tobalaba
Avenida Tobalaba is a major thoroughfare in Santiago, Chile, running through several communes and serving as an important urban transit and commercial corridor.
- 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_69d87f198bc48190a8b7e53ca15b7ead |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e184508dfc819085590b2c4731c8ef |
completed | April 17, 2026, 12:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffe490d494819081f812811f032702 |
completed | May 10, 2026, 1:51 a.m. |
Created at: April 10, 2026, 4:59 a.m.