Triple
T37336226
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barton Township |
E926899
|
entity |
| Predicate | townFoundedBy |
P187740
|
FINISHED |
| Object | George Hamilton |
—
|
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: George Hamilton | Statement: [Barton Township, townFoundedBy, George Hamilton]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: townFoundedBy Context triple: [Barton Township, townFoundedBy, George Hamilton]
-
A.
colonyFoundedBy
Indicates that a particular colony was established or created by a specific founding entity (such as a person, group, or organization).
-
B.
locatedInSettlementFoundedBy
Indicates that something is located in a settlement that was founded by a specified entity.
-
C.
colonyTypeFounded
Indicates the specific type or category of colony that was established in a founding event.
-
D.
colonyFounded
Indicates that an entity established or created a colony at a particular time or place.
-
E.
cityFounded
Indicates that a particular city was established or came into existence at a specific time or by a specific founding event or agent.
- 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_69f76eb4e8a881908bd40da28f36fc7e |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb8c38a9688190be524246f5682107 |
completed | May 6, 2026, 6:45 p.m. |
| PD | Predicate disambiguation | batch_69fb5a9c6e0481908565bd849e869b24 |
completed | May 6, 2026, 3:13 p.m. |
| PDg | Predicate description generation | batch_69fb8c37931c81909da038c18ed9add2 |
completed | May 6, 2026, 6:45 p.m. |
Created at: May 3, 2026, 4:16 p.m.