Triple
T11833219
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pace High School |
E281445
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object | Pace |
E886524
|
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: Pace | Statement: [Pace High School, city, Pace]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pace Context triple: [Pace High School, city, Pace]
-
A.
Pace
Pace is a popular American brand best known for its chunky salsas and Mexican-style sauces.
-
B.
Pace
Pace is a surname most notably associated with American actor Lee Pace, known for his roles in film and television such as "Pushing Daisies" and "The Hobbit" trilogy.
-
C.
Pace
chosen
Pace is a suburban public bus transit agency serving the Chicago metropolitan area in Illinois.
-
D.
Pace
Pace is a company based at the Granta Park science and business campus, likely involved in technology or life sciences.
-
E.
Tempo
Tempo was the internal codename used by Apple for the Mac OS 8 operating system during its development.
- 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_69d6ab276f8c8190b1966a0ef11349ac |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a62e7e408190998bebe346c82e89 |
completed | April 10, 2026, 7:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f16753f4f88190940e53312aff4333 |
completed | April 29, 2026, 2:05 a.m. |
Created at: April 8, 2026, 9:43 p.m.