Triple
T29912824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Livingston Parking Deck |
E759714
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object |
Rutgers University transportation and parking system
The Rutgers University transportation and parking system is the integrated network of campus buses, shuttles, and parking facilities that supports mobility and vehicle access across Rutgers’ campuses.
|
E380506
|
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: Rutgers University transportation and parking system | Statement: [Livingston Parking Deck, partOf, Rutgers University transportation and parking system]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Rutgers University transportation and parking system Triple: [Livingston Parking Deck, partOf, Rutgers University transportation and parking system]
Generated description
The Rutgers University transportation and parking system is the integrated network of campus buses, shuttles, and parking facilities that supports mobility and vehicle access across Rutgers’ campuses.
Provenance (5 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_69f2246189fc8190996b63ee1f9a2374 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f6775b7e54819083176ce918b32eec |
completed | May 2, 2026, 10:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2714147dc481909c8440875cad5073 |
completed | June 8, 2026, 7:12 p.m. |
| NEDg | Description generation | batch_6a271498c12c81909a3ca72cfeb8bcb5 |
completed | June 8, 2026, 7:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a2719a575388190baec154da1d3ed1a |
completed | June 8, 2026, 7:36 p.m. |
Created at: April 29, 2026, 6:11 p.m.