Triple
T10923433
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Friedrichshafen |
E258002
|
entity |
| Predicate | twinnedWith |
P1072
|
FINISHED |
| Object | Palo Alto |
E22022
|
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: Palo Alto | Statement: [Friedrichshafen, twinnedWith, Palo Alto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Palo Alto Context triple: [Friedrichshafen, twinnedWith, Palo Alto]
-
A.
Palo Alto, California
chosen
Palo Alto, California is a major Silicon Valley city known for its role as a global technology and innovation hub and as the home of Stanford University.
-
B.
El Palo Alto
El Palo Alto is a historic coastal redwood tree in California that serves as the namesake and iconic symbol of the city of Palo Alto.
-
C.
San Mateo
San Mateo is a landlocked municipality in the province of Rizal in the Philippines, known for its mix of suburban communities, hilly terrain, and proximity to Metro Manila.
-
D.
San Mateo
San Mateo is a city in California’s San Francisco Bay Area, known for its suburban neighborhoods, parks, and role as a commercial and residential hub on the Peninsula.
-
E.
San Jose
San Jose is a municipality in the province of Batangas in the Philippines, known for its agricultural economy and rural communities.
- 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_69d6aa864ed88190818280ab6791d065 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7708e3fd881908da10f24a856364c |
completed | April 9, 2026, 9:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7304bc684819083ca999f283b0cb3 |
completed | May 3, 2026, 11:23 a.m. |
Created at: April 8, 2026, 9:22 p.m.