Triple
T27970361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baron King of Lothbury |
E706336
|
entity |
| Predicate | isLinkedToPlaceName |
P122228
|
FINISHED |
| Object |
Lothbury, City of London
Lothbury, City of London is a historic street in the heart of London's financial district, located near the Bank of England and long associated with banking and commerce.
|
E1798014
|
NE FINISHED |
How this triple was built (3 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: Lothbury, City of London | Statement: [Baron King of Lothbury, isLinkedToPlaceName, Lothbury, City of London]
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: Lothbury, City of London Triple: [Baron King of Lothbury, isLinkedToPlaceName, Lothbury, City of London]
Generated description
Lothbury, City of London is a historic street in the heart of London's financial district, located near the Bank of England and long associated with banking and commerce.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isLinkedToPlaceName Context triple: [Baron King of Lothbury, isLinkedToPlaceName, Lothbury, City of London]
-
A.
hasPlaceNamesIn
Indicates that something contains, references, or is associated with one or more place names within it.
-
B.
hasToponymicAssociation
chosen
Indicates a relationship where one entity is associated with, derived from, or named after a particular place or geographic name (toponym).
-
C.
isToponymIn
Indicates that a place name (toponym) is located within or refers to a specific geographic area or region.
-
D.
hasPlaceNamesakeIn
Indicates that something is named after a particular place or location.
-
E.
isToponymOf
Indicates that one entity is a place name (toponym) that refers to the location represented by the other entity.
- F. None of above.
Provenance (6 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_69ef96b7f330819090f315318ba6977e |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f63b35079c819084779003fe29410d |
completed | May 2, 2026, 5:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a13117588748190990e677b6745d1d4 |
completed | May 24, 2026, 2:55 p.m. |
| NEDg | Description generation | batch_6a1312211af88190ab84fc43b748a93e |
completed | May 24, 2026, 2:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a13148cc15c8190928bfe77917e4176 |
completed | May 24, 2026, 3:09 p.m. |
| PD | Predicate disambiguation | batch_69f63710d17c819084cfe96e6df334fd |
completed | May 2, 2026, 5:40 p.m. |
Created at: April 27, 2026, 7:37 p.m.