Triple
T26914643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Court, Trinity College, Cambridge |
E677484
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Clock tower of Trinity College, Cambridge
The Clock Tower of Trinity College, Cambridge is a prominent historic tower overlooking Great Court, known for its striking architecture and iconic clock that plays a central role in college traditions.
|
E1746259
|
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: Clock tower of Trinity College, Cambridge | Statement: [Great Court, Trinity College, Cambridge, hasPart, Clock tower of Trinity College, Cambridge]
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: Clock tower of Trinity College, Cambridge Triple: [Great Court, Trinity College, Cambridge, hasPart, Clock tower of Trinity College, Cambridge]
Generated description
The Clock Tower of Trinity College, Cambridge is a prominent historic tower overlooking Great Court, known for its striking architecture and iconic clock that plays a central role in college traditions.
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_69eee9bcef1c8190be88586bb902bb9b |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f61fdd39ec8190aaf1714330459136 |
completed | May 2, 2026, 4:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a121eb4f5208190939fe86ba18a47ab |
completed | May 23, 2026, 9:40 p.m. |
| NEDg | Description generation | batch_6a121f5c372481909cfd4c5ebc39f5ea |
completed | May 23, 2026, 9:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a122004aadc819084dbaa834408a0bc |
completed | May 23, 2026, 9:45 p.m. |
Created at: April 27, 2026, 6:03 a.m.