Triple
T29583162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 王貞治 |
E753645
|
entity |
| Predicate | 通算四球数 |
P167469
|
FINISHED |
| Object | 2390四球 |
—
|
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: 2390四球 | Statement: [王貞治, 通算四球数, 2390四球]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 通算四球数 Context triple: [王貞治, 通算四球数, 2390四球]
-
A.
通算打点数
Indicates the total number of runs batted in (RBIs) a player has accumulated over their entire career.
-
B.
通算安打数
Indicates the total number of base hits a player has accumulated over the course of their career or a specified period.
-
C.
typicalWinningScoreRelativeToPar
Indicates the usual or expected winning score in relation to the course’s par (e.g., how many strokes under or over par typically wins).
-
D.
numberOfDarts
Indicates the quantity of darts associated with or involved in a given entity or event.
-
E.
estimatedHolesInOne
Indicates that a numerical estimate is being made of how many holes-in-one (aces) are expected to occur in a given golf context (such as for a player, round, event, or time period).
- 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_69f0ef80bf8c8190ad286e99f7df0c63 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69f66d7b547c8190ba4bfef5c7567a77 |
completed | May 2, 2026, 9:32 p.m. |
| PD | Predicate disambiguation | batch_69f6659d36208190b01412600a4ed57d |
completed | May 2, 2026, 8:59 p.m. |
| PDg | Predicate description generation | batch_69f6691da93081909deaf680614fc900 |
completed | May 2, 2026, 9:14 p.m. |
Created at: April 28, 2026, 6:08 p.m.