Triple
T235343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cambridge railway station |
E4497
|
entity |
| Predicate | hasPlatform |
P843
|
FINISHED |
| Object |
Platform 1
Platform 1 is one of the passenger train platforms at Cambridge railway station in Cambridge, England.
|
E30130
|
NE FINISHED |
How this triple was built (4 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: Platform 1 | Statement: [Cambridge railway station, hasPlatform, Platform 1]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Platform 1 Context triple: [Cambridge railway station, hasPlatform, Platform 1]
-
A.
Platform
Platform is a competitive program at the Toronto International Film Festival that showcases bold, director-driven international cinema.
-
B.
Platform Prize
The Platform Prize is a juried award at the Toronto International Film Festival that recognizes bold, director-driven films of high artistic merit.
-
C.
Pixel
Pixel is Google's flagship line of Android smartphones known for their clean software experience and advanced camera capabilities.
-
D.
PLAF
PLAF is an abbreviation commonly used to refer to the Polish Air Force, the air warfare branch of Poland’s armed forces.
-
E.
Smash
Smash is an American musical drama television series that follows the creation of a Broadway show about Marilyn Monroe, featuring Jennifer Hudson in a prominent role.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Platform 1 Triple: [Cambridge railway station, hasPlatform, Platform 1]
Generated description
Platform 1 is one of the passenger train platforms at Cambridge railway station in Cambridge, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Platform 1 Target entity description: Platform 1 is one of the passenger train platforms at Cambridge railway station in Cambridge, England.
-
A.
Platform
Platform is a competitive program at the Toronto International Film Festival that showcases bold, director-driven international cinema.
-
B.
Platform Prize
The Platform Prize is a juried award at the Toronto International Film Festival that recognizes bold, director-driven films of high artistic merit.
-
C.
Pixel
Pixel is Google's flagship line of Android smartphones known for their clean software experience and advanced camera capabilities.
-
D.
PLAF
PLAF is an abbreviation commonly used to refer to the Polish Air Force, the air warfare branch of Poland’s armed forces.
-
E.
Smash
Smash is an American musical drama television series that follows the creation of a Broadway show about Marilyn Monroe, featuring Jennifer Hudson in a prominent role.
- 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_69a257363ffc81909757bde7ab3404da |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25cc9ab2c81909af278a07f86aa1e |
completed | Feb. 28, 2026, 3:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a36478ebcc8190b95419be9bc6bba3 |
completed | Feb. 28, 2026, 9:56 p.m. |
| NEDg | Description generation | batch_69a3651d2b108190a81d8c3076f6e617 |
completed | Feb. 28, 2026, 9:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3657903608190988a4c933bbc262c |
completed | Feb. 28, 2026, 10 p.m. |
Created at: Feb. 28, 2026, 2:53 a.m.