Triple
T7842633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Turlock |
E181842
|
entity |
| Predicate | hasNeighboringCity |
P3883
|
FINISHED |
| Object | Modesto |
E27086
|
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: Modesto | Statement: [Turlock, hasNeighboringCity, Modesto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Modesto Context triple: [Turlock, hasNeighboringCity, Modesto]
-
A.
Modesto
chosen
Modesto is a mid-sized city in California’s Central Valley known for its agricultural economy, historic connection to the railroads, and as the hometown setting inspiration for George Lucas’s film "American Graffiti."
-
B.
Modesto
Modesto was a prominent Spanish Republican military commander during the Spanish Civil War.
-
C.
Merced
Merced is a city in California’s San Joaquin Valley known as a gateway to Yosemite National Park and home to the University of California, Merced.
-
D.
Merced
Merced is a metro station on Mexico City’s Line 1 that serves the busy commercial area surrounding the historic La Merced market.
-
E.
Fresno
Fresno is a major agricultural and economic center in California’s San Joaquin Valley, known for its role in the state’s farming industry and its diverse urban population.
- 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_69ca8285d6488190a95d4c02d7354b53 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb163b32688190b463a9cd8fa3c690 |
completed | March 31, 2026, 12:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5aded4048190b18604963784352c |
completed | March 31, 2026, 5:25 a.m. |
Created at: March 30, 2026, 4:48 p.m.