Triple
T4297824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yale University Old Campus |
E99757
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | High Street |
E51089
|
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: High Street | Statement: [Yale University Old Campus, borders, High Street]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: High Street Context triple: [Yale University Old Campus, borders, High Street]
-
A.
High Street
chosen
High Street is a central thoroughfare in New Haven, Connecticut, running alongside Yale University's Old Campus and lined with historic academic and civic buildings.
-
B.
High Street
High Street is the main commercial and social thoroughfare in the coastal town of Burntisland, Scotland, lined with shops, services, and local businesses.
-
C.
High Street
High Street is a prominent fell in the Lake District of England, known for its broad summit plateau and the Roman road that once ran along its ridge.
-
D.
High Street
High Street is the main commercial and shopping thoroughfare in the town of Oxted, lined with shops, cafes, and local businesses.
-
E.
High Street
High Street is the historic main thoroughfare of Edinburgh’s Old Town, forming the central stretch of the Royal Mile lined with notable landmarks, shops, and medieval architecture.
- 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_69b3455175088190aa79c6e03b86647e |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3509bff808190a86fade7ccfc3611 |
completed | March 12, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ca0f1021148190b85ec086f79787d4 |
completed | March 30, 2026, 5:50 a.m. |
Created at: March 12, 2026, 11:08 p.m.