Triple
T9824740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Delaware |
E238626
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | First State |
E528165
|
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: First State | Statement: [Delaware, nickname, First State]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: First State Context triple: [Delaware, nickname, First State]
-
A.
Delaware
chosen
Delaware is a small Mid-Atlantic U.S. state on the Atlantic coast, known for being the first state to ratify the Constitution and for its business-friendly corporate laws.
-
B.
Delaware
Delaware is a small city in central Ohio known for its historic downtown, liberal arts college atmosphere, and proximity to Columbus.
-
C.
Penn
Penn is the stage and given name of Penn Jillette, the outspoken magician, comedian, and half of the famed duo Penn & Teller.
-
D.
Penn
Penn is a 2006 Tamil-language romantic comedy film directed by A. Venkatesh and produced by AVM Productions.
-
E.
Penn
Penn is a private Ivy League research university in Philadelphia known for its strong programs in business, law, medicine, and the liberal arts.
- 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_69ca84e0dd1881909800765d1e21f735 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb3181c688190afea3b27ee392a30 |
completed | April 2, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1cc810bac8190a5ff94c0717e7706 |
completed | April 5, 2026, 2:44 a.m. |
Created at: March 30, 2026, 8:31 p.m.