Triple
T7125756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Farmersville, Texas |
E166054
|
entity |
| Predicate | incorporatedInCentury |
P75003
|
FINISHED |
| Object | 19th century |
—
|
LITERAL 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: 19th century | Statement: [Farmersville, Texas, incorporatedInCentury, 19th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: incorporatedInCentury Context triple: [Farmersville, Texas, incorporatedInCentury, 19th century]
-
A.
endedInCentury
Indicates that an event, period, or process concluded during a specified century.
-
B.
acquiredInCentury
Indicates that one entity was acquired during a specific century represented by the other entity.
-
C.
declaredInCentury
Indicates that something (such as an event, work, or concept) was formally declared or proclaimed during a specified century.
-
D.
existedInCentury
Indicates that an entity existed or was present during a specified century.
-
E.
compiledInCentury
Indicates that something (such as a work, text, or document) was compiled during a specified century.
- 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_69c6888350588190870cd552b427a1cd |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e64d99888190a93c1822e19b5457 |
completed | March 27, 2026, 8:19 p.m. |
| PD | Predicate disambiguation | batch_69c6e1c7289881909f3b533c384f9ed4 |
completed | March 27, 2026, 8 p.m. |
| PDg | Predicate description generation | batch_69c6e4a213508190a40aca39f9eee7d5 |
completed | March 27, 2026, 8:12 p.m. |
Created at: March 27, 2026, 2:44 p.m.