Triple
T37122369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York 46ers |
E919291
|
entity |
| Predicate | numberOfPeaksRequired |
P101726
|
FINISHED |
| Object | 46 |
—
|
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: 46 | Statement: [New York 46ers, numberOfPeaksRequired, 46]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfPeaksRequired Context triple: [New York 46ers, numberOfPeaksRequired, 46]
-
A.
numberOfPeaks
Indicates the count of distinct peak points or maximum values present within a given entity or dataset.
-
B.
hasPeakCount
chosen
Indicates the number of distinct peaks associated with an entity.
-
C.
numberOfLocationsAtPeak
Indicates the total count of distinct locations associated with an entity at its highest or peak point in time or activity.
-
D.
hasNumberAtPeak
Indicates that an entity possesses a specific numerical value measured at its highest or peak point.
-
E.
excludesPeaksBelow
Indicates that certain data, ranges, or selections intentionally omit or filter out peaks whose values fall below a specified threshold.
- F. None of above.
Provenance (3 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_69f76e9c57148190ba789dd059645bb9 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037c8e2c648190a65fc9c7872861af |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a11efc08190bb7cacc1325b4dc6 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:15 p.m.