Triple
T5147249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PATH World Trade Center station |
E116101
|
entity |
| Predicate | fareSystem |
P395
|
FINISHED |
| Object | PATH |
E21015
|
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: PATH | Statement: [PATH World Trade Center station, fareSystem, PATH]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PATH Context triple: [PATH World Trade Center station, fareSystem, PATH]
-
A.
PATH
PATH is an international nonprofit organization focused on improving global health through innovation, partnerships, and the development and delivery of affordable health technologies and solutions.
-
B.
PATH
chosen
PATH is a rapid transit rail system connecting Manhattan in New York City with neighboring cities in northern New Jersey.
-
C.
Path
Path was a mobile-focused social networking service designed for private sharing among close friends and family.
-
D.
Patchway
Patchway is a suburban town and civil parish in South Gloucestershire, England, situated near Bristol and known for its post-war housing estates and proximity to major transport links.
-
E.
PATH pedestrian network
The PATH pedestrian network is an extensive underground walkway system in downtown Toronto that links office towers, shopping centers, and transit hubs through a series of interconnected tunnels and corridors.
- 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_69bd4446c0e08190a7c29dc74976bf03 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd78afc32081909fd4de3dbf31ea3a |
completed | March 20, 2026, 4:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69becffa6a2881908f4b1ef85bdcce30 |
completed | March 21, 2026, 5:06 p.m. |
Created at: March 20, 2026, 1:43 p.m.