Triple
T9943981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lehigh Valley region |
E194154
|
entity |
| Predicate | populationRankInPennsylvania |
P91281
|
FINISHED |
| Object | third-largest metropolitan area in Pennsylvania |
—
|
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: third-largest metropolitan area in Pennsylvania | Statement: [Lehigh Valley region, populationRankInPennsylvania, third-largest metropolitan area in Pennsylvania]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: populationRankInPennsylvania Context triple: [Lehigh Valley region, populationRankInPennsylvania, third-largest metropolitan area in Pennsylvania]
-
A.
rankByPopulationInUnitedStates
Indicates the relative ordering of entities based on their population size within the United States.
-
B.
rankByPopulationInUS
Indicates the relative ordering of entities based on the size of their populations within the United States.
-
C.
provinceRank
Indicates the relative position or level assigned to a province within an ordered ranking or hierarchy.
-
D.
populationRankInOhio
Indicates the relative ranking of an entity’s population size compared to other entities within the state of Ohio.
-
E.
populationRankInWashington
Indicates the relative ranking of an entity’s population size compared to other entities within Washington.
- 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_69ca82e409348190a393777356b80a2a |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb613fbb48190b82a06987310cc96 |
completed | April 2, 2026, 12:19 a.m. |
| PD | Predicate disambiguation | batch_69cd1d9428cc81909b4b4938566d78a7 |
completed | April 1, 2026, 1:28 p.m. |
| PDg | Predicate description generation | batch_69cd358386f48190833c862b5b8c04b2 |
completed | April 1, 2026, 3:10 p.m. |
Created at: March 30, 2026, 8:45 p.m.