Triple
T1138850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pyramid |
E23401
|
entity |
| Predicate | inspiredBy |
P9
|
FINISHED |
| Object | Pylons |
E129538
|
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: Pylons | Statement: [Pyramid, inspiredBy, Pylons]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pylons Context triple: [Pyramid, inspiredBy, Pylons]
-
A.
Pylons Project
chosen
Pylons Project is an open-source organization that develops and maintains Python web frameworks and related tools, including the Pyramid framework.
-
B.
Echo Bridge
Echo Bridge is a historic 19th-century stone arch aqueduct and pedestrian bridge spanning the Charles River between Newton and Needham, Massachusetts.
-
C.
Steel Pier
Steel Pier is a historic amusement pier and entertainment venue extending over the Atlantic Ocean in Atlantic City, New Jersey.
-
D.
The Station
The Station is a painting by British artist L. S. Lowry, known for its distinctive depiction of industrial urban life with stylized figures and stark architectural forms.
-
E.
Steel Bridge
Steel Bridge is a historic double-deck vertical-lift bridge in Portland, Oregon, known for carrying both rail and road traffic across the Willamette River.
- 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_69a493ef399c8190b04b9146d2314f59 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4bc25dda481909a26d726fdbdbb50 |
completed | March 1, 2026, 10:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac667454848190acedaaa3ce7edb84 |
completed | March 7, 2026, 5:55 p.m. |
Created at: March 1, 2026, 7:44 p.m.