Triple
T11224534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New England 4000-footers |
E265660
|
entity |
| Predicate | hasPeakCountInNewHampshire |
P97922
|
FINISHED |
| Object | 48 |
—
|
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: 48 | Statement: [New England 4000-footers, hasPeakCountInNewHampshire, 48]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPeakCountInNewHampshire Context triple: [New England 4000-footers, hasPeakCountInNewHampshire, 48]
-
A.
hasCountyNumberInNewHampshire
Indicates that a county is assigned a specific official county number within the state of New Hampshire.
-
B.
populationRankInNewHampshire
Indicates the relative position of an entity in terms of population size compared to other entities within the state of New Hampshire.
-
C.
isNewEnglandTown
Indicates that the subject is a town located within the New England region.
-
D.
rankByPopulationInNewEngland
Indicates the relative ordering of entities based on their population size within the New England region.
-
E.
hasPeak
Indicates that something possesses or contains a highest point, summit, or maximum value.
- 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_69d6aac59460819089b9848b27f57848 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8ee15d4819087449058addef597 |
completed | April 9, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69d75cfbbb188190861efd5d94fe27da |
completed | April 9, 2026, 8:02 a.m. |
| PDg | Predicate description generation | batch_69d77062271c8190b63da714ab5beff9 |
completed | April 9, 2026, 9:24 a.m. |
Created at: April 8, 2026, 9:30 p.m.