Triple
T29364923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Jersey Transit station |
E744688
|
entity |
| Predicate | notableHubExample |
P204225
|
FINISHED |
| Object | Newark Penn Station |
E54884
|
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: Newark Penn Station | Statement: [New Jersey Transit station, notableHubExample, Newark Penn Station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableHubExample Context triple: [New Jersey Transit station, notableHubExample, Newark Penn Station]
-
A.
notableHub
Indicates that an entity serves as a significant central point or focal location for activities, connections, or influence within a particular context.
-
B.
notableExplorer
Indicates that the subject is recognized for significant achievements or prominence in the field of exploration.
-
C.
notableExampleBy
Indicates that something serves as a prominent or illustrative example provided or created by a particular entity.
-
D.
notableExampleAt
Indicates that something serves as a prominent or illustrative example of something else in a particular context or location.
-
E.
notableConnector
Indicates that one entity serves as a significant link, bridge, or intermediary that meaningfully connects or relates two other entities.
- F. None of above. chosen
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_69f0a79aee588190b490f19d93c6e52d |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_6a035052a47081908e9e56e21c543d46 |
completed | May 12, 2026, 4:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a25c0fe77e0819091ef4427727cd498 |
completed | June 7, 2026, 7:05 p.m. |
| PD | Predicate disambiguation | batch_6a034d306e588190a2dce906fd46eb54 |
completed | May 12, 2026, 3:54 p.m. |
| PDg | Predicate description generation | batch_6a035051a02481909e2a6868f9253a92 |
completed | May 12, 2026, 4:07 p.m. |
Created at: April 28, 2026, 2:21 p.m.