Triple
T25759363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Percy Foreman |
E648693
|
entity |
| Predicate | numberOfCapitalCases |
P190325
|
FINISHED |
| Object | more than 1500 |
—
|
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: more than 1500 | Statement: [Percy Foreman, numberOfCapitalCases, more than 1500]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfCapitalCases Context triple: [Percy Foreman, numberOfCapitalCases, more than 1500]
-
A.
mostCaps
Indicates that the subject entity possesses the greatest number of capital letters (or capitalized elements) compared to a specified set of entities.
-
B.
recognizesCapital
Indicates that one entity acknowledges or identifies another entity as the capital of a given region or country.
-
C.
hasCapitalFunction
Indicates that an entity serves as the primary seat of government or main administrative center for another entity.
-
D.
capitalizationOccursWhen
Indicates that the event or condition specified is the point or circumstance under which capitalization (e.g., converting letters to uppercase or treating something as a capital asset) takes place.
-
E.
possibleCapital
Indicates that a location is a candidate or potential capital city of a given political or administrative entity.
- 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_69e7ab314d788190b3abe19e114080e1 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69fcc4b700748190ae00b21d09c96695 |
completed | May 7, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69fcb0f9d3d881908a049475182fb039 |
completed | May 7, 2026, 3:34 p.m. |
| PDg | Predicate description generation | batch_69fcc4b5f22c8190b8b256adbdc2570c |
completed | May 7, 2026, 4:58 p.m. |
Created at: April 22, 2026, 4:44 a.m.