Triple
T7498216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guadalupe Vélez |
E177186
|
entity |
| Predicate | givenName |
P17
|
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: [Guadalupe Vélez, givenName, Guadalupe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guadalupe Context triple: [Guadalupe Vélez, givenName, Guadalupe]
-
A.
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.
-
B.
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.
-
C.
Guadalupe
Guadalupe is a small town in Maricopa County, Arizona, known for its strong Yaqui and Mexican cultural heritage.
-
D.
Guadalupe
Guadalupe is a small settlement located on Graciosa Island in Portugal’s Azores archipelago.
-
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_69c69f2696688190915a8458f2398211 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f597a0c08190b34fa283a11d98c7 |
completed | March 27, 2026, 9:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c83c8b28d0819095c7b666d442c7ab |
completed | March 28, 2026, 8:39 p.m. |
Created at: March 27, 2026, 3:44 p.m.