Triple
T11382125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Puente Guadalupe |
E269620
|
entity |
| Predicate | hasNameComponent |
P24447
|
FINISHED |
| Object | Guadalupe |
unclear NED1
|
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: Guadalupe | Statement: [Puente Guadalupe, hasNameComponent, Guadalupe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guadalupe Context triple: [Puente Guadalupe, hasNameComponent, Guadalupe]
-
A.
Guadalupe
Guadalupe is a city in the Monterrey metropolitan area of Nuevo León, Mexico, known for its urban development and major sports venues.
-
B.
Guadalupe
Guadalupe is a small coastal city in northern Santa Barbara County, California, known for its agricultural surroundings and proximity to the Guadalupe-Nipomo Dunes.
-
C.
Guadalupe
Guadalupe is a significant urban center in the Mexican state of Zacatecas, known for its proximity to the state capital and its role in the region’s economic and cultural life.
-
D.
Guadalupe
Guadalupe is the Spanish given name of Mexican-born Hollywood actress and comedian Lupe Vélez.
-
E.
Guadalupe
Guadalupe is a town in northern Peru known for its agricultural surroundings and location within the La Libertad Region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69d6aacca1048190b39dbbc2174616fa |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7fc331f188190a7f69f1aae53fb6b |
completed | April 9, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e556a99c8c8190b7439a548216e648 |
completed | April 19, 2026, 10:26 p.m. |
Created at: April 8, 2026, 9:34 p.m.