Triple
T6110607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wonderland |
E136227
|
entity |
| Predicate | servesCity |
P82
|
FINISHED |
| Object | Revere |
E8138
|
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: Revere | Statement: [Wonderland, servesCity, Revere]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Revere Context triple: [Wonderland, servesCity, Revere]
-
A.
Revere
Revere is a surname most notably associated with American historical figure Paul Revere and various other individuals in politics, arts, and public life.
-
B.
Revere, Massachusetts
chosen
Revere, Massachusetts is a coastal city just north of Boston known for Revere Beach, the oldest public beach in the United States.
-
C.
Charlestown
Charlestown is a district in north Manchester, England, known as a primarily residential area with local amenities and community facilities.
-
D.
Charlestown
Charlestown is the main town and administrative center of the Caribbean island of Nevis, known for its colonial architecture and historic hot springs.
-
E.
Boston Common
Boston Common is a historic central public park in downtown Boston and the oldest city park in the United States.
- 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_69c0089ea6f88190b349be53e04b4f5f |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05b84ed088190a12cdb844d743326 |
completed | March 22, 2026, 9:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c518df074481909d3990c92c11c05a |
completed | March 26, 2026, 11:30 a.m. |
Created at: March 22, 2026, 4:13 p.m.