Triple
T30218937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1985 NBA All-Star Game |
E768285
|
entity |
| Predicate | eastPointsAfterFirstQuarter |
P168994
|
FINISHED |
| Object | 40 |
—
|
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: 40 | Statement: [1985 NBA All-Star Game, eastPointsAfterFirstQuarter, 40]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eastPointsAfterFirstQuarter Context triple: [1985 NBA All-Star Game, eastPointsAfterFirstQuarter, 40]
-
A.
firstAndFourthQuarters
Indicates that the relationship or action involves the first and fourth quarters of a defined period (such as a fiscal or calendar year).
-
B.
pointsAfterThreeQuarters
Indicates the number of points an entity has accumulated by the end of the third quarter of a game or event.
-
C.
oneOfFourQuartersOf
Indicates that one entity constitutes exactly one of the four equal parts (quarters) into which another entity is divided.
-
D.
secondAndThirdQuarters
Indicates that the relationship or action specifically involves the second and third quarters of a defined time period (such as a fiscal or calendar year).
-
E.
firstQuarter
Indicates that an event, state, or condition occurs during the first quarter of a defined time period (such as a year or fiscal year).
- 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_69f2247fd8b8819087fcf83cb7a05eb8 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67ff800788190b72b805d7ab44594 |
completed | May 2, 2026, 10:51 p.m. |
| PD | Predicate disambiguation | batch_69f6760216108190bbb708d53a6c2c25 |
completed | May 2, 2026, 10:09 p.m. |
| PDg | Predicate description generation | batch_69f676c35f3481909b9ba18a5662d6ce |
completed | May 2, 2026, 10:12 p.m. |
Created at: April 29, 2026, 7:34 p.m.