Triple
T12002750
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waterford |
E285705
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Lodi |
E240472
|
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: Lodi | Statement: [Waterford, hasTwinTown, Lodi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lodi Context triple: [Waterford, hasTwinTown, Lodi]
-
A.
Lodi
Lodi is a city in California’s Central Valley known for its extensive wine grape production and growing reputation as a major wine region.
-
B.
Lodi
chosen
Lodi is a city in northern Italy’s Lombardy region, known for its historic center, Renaissance architecture, and role as a regional commercial and cultural hub.
-
C.
Redding
Redding is a small city located in Ringgold County in the southern part of the U.S. state of Iowa.
-
D.
Redding
Redding is a mid-sized city in Northern California known as a regional hub for outdoor recreation, with access to Shasta Lake, the Sacramento River, and nearby national forests.
-
E.
Redding
Redding was the former name of Elizabeth City, a historic riverfront community in northeastern North Carolina.
- 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_69d6ab45a368819084fce08bf0dc3705 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903c36b248190b446b17def94885b |
completed | April 10, 2026, 2:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f48ae4733c81909956cc8d6bae343a |
completed | May 1, 2026, 11:13 a.m. |
Created at: April 8, 2026, 9:46 p.m.