Triple
T38389335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hunsford |
E899665
|
entity |
| Predicate | parsonageOccupiedBy |
P190830
|
FINISHED |
| Object | Mr. William Collins |
—
|
NE NERFINISHED |
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: Mr. William Collins | Statement: [Hunsford, parsonageOccupiedBy, Mr. William Collins]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: parsonageOccupiedBy Context triple: [Hunsford, parsonageOccupiedBy, Mr. William Collins]
-
A.
hasParishHouse
Indicates that a church or parish entity possesses or is associated with a specific parish house building.
-
B.
isParishSeatOf
Indicates that a location serves as the administrative center or main seat of government for a particular parish.
-
C.
parish
Indicates that an entity is administratively or ecclesiastically associated with a particular parish.
-
D.
mainParishOf
Indicates that one parish serves as the primary or central parish associated with a given entity or area.
-
E.
formerOccupant
Indicates that an entity previously occupied a position, role, or place but no longer does so.
- F. None of above. chosen
Provenance (4 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_69f76e5c9b808190b486523f5c2f817d |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fcd1499e2c81909bafd84dc4810f45 |
completed | May 7, 2026, 5:52 p.m. |
| PD | Predicate disambiguation | batch_69fcccf024ec819086383ffbb6cfc036 |
completed | May 7, 2026, 5:33 p.m. |
| PDg | Predicate description generation | batch_69fcd148e6d4819082c118832ecc599b |
completed | May 7, 2026, 5:52 p.m. |
Created at: May 3, 2026, 4:31 p.m.