Triple
T20304669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laurens County |
E505577
|
entity |
| Predicate | largestCity |
P235
|
FINISHED |
| Object | Laurens |
—
|
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: Laurens | Statement: [Laurens County, largestCity, Laurens]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laurens Context triple: [Laurens County, largestCity, Laurens]
-
A.
Laurens
Laurens is a surname most notably associated with Henry Laurens, an American merchant, slave trader, and President of the Continental Congress during the American Revolution.
-
B.
Laurens
chosen
Laurens is a small town located in Otsego County in central New York State.
-
C.
Laurens
Laurens is a given name, notably borne by British historian and politician H. A. L. Fisher.
-
D.
Winfield
Winfield is a small town located in Lake County, Indiana, known primarily as a residential community near the Chicago metropolitan area.
-
E.
Winfield
Winfield is a masculine given name most notably borne by 19th-century American military leader Winfield Scott.
- 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_69e0b4b8ab648190906e18538c250148 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6773ed3248190ba949ec941e8d41f |
completed | April 20, 2026, 6:58 p.m. |
Created at: April 16, 2026, 11:18 a.m.