Triple
T1869066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Philadelphia County |
E34989
|
entity |
| Predicate | hasConsolidatedCityCountySince |
P33271
|
FINISHED |
| Object | 1854 |
—
|
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: 1854 | Statement: [Philadelphia County, hasConsolidatedCityCountySince, 1854]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasConsolidatedCityCountySince Context triple: [Philadelphia County, hasConsolidatedCityCountySince, 1854]
-
A.
hasCountyLevelCity
Indicates that an entity (typically a region or province) includes or administers one or more cities that hold county-level administrative status.
-
B.
hasMetropolitanCounty
Indicates that an entity is associated with, located within, or administered by a specific metropolitan county.
-
C.
hasCountyCode
Indicates that an entity is associated with a specific county identified by a standardized county code.
-
D.
isInCountySeatOf
Indicates that one entity is located within the town or city that serves as the administrative center (county seat) of a specified county.
-
E.
hasCountySeatOf
Indicates that a place serves as the administrative county seat (capital) of a specified county.
- 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_69a88600b2f88190bc09303e68ab517e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abb16c09e48190a345c95eab59fd87 |
completed | March 7, 2026, 5:02 a.m. |
| PD | Predicate disambiguation | batch_69abafe02c3c819093a4744b476106ca |
completed | March 7, 2026, 4:56 a.m. |
| PDg | Predicate description generation | batch_69abb16a6db48190af04012e8ed2269f |
completed | March 7, 2026, 5:02 a.m. |
Created at: March 4, 2026, 7:34 p.m.