Triple
T21292499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Mesa Reservoir |
E524830
|
entity |
| Predicate | cityServed |
P82
|
FINISHED |
| Object | San Juan |
—
|
NE NERFINISHED |
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: San Juan | Statement: [La Mesa Reservoir, cityServed, San Juan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: San Juan Context triple: [La Mesa Reservoir, cityServed, San Juan]
-
A.
San Juan
San Juan is an Argentine wine-producing region recognized for its significant Malbec production.
-
B.
San Juan
San Juan is a neighborhood within the municipality of Telde on the island of Gran Canaria in Spain’s Canary Islands.
-
C.
San Juan
chosen
San Juan is the capital and largest city of Argentina’s San Juan Province, known for its wine production, seismic activity, and Andean setting.
-
D.
San Juan
San Juan is a barangay (village-level administrative division) within the municipality of Paombong in the province of Bulacan, Philippines.
-
E.
San Juan
San Juan is a common Spanish place name used for cities and towns across Latin America and Spain, often honoring Saint John.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b517e6748190850d6f6ddf323d69 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e73855e5d08190aed5e285247b4e23 |
completed | April 21, 2026, 8:41 a.m. |
Created at: April 16, 2026, 4:04 p.m.