Triple
T21630505
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siphiwe Tshabalala scored a long-range opening goal |
E533815
|
entity |
| Predicate | hasMatchMinute |
P145307
|
FINISHED |
| Object | 55th minute |
—
|
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: 55th minute | Statement: [Siphiwe Tshabalala scored a long-range opening goal, hasMatchMinute, 55th minute]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMatchMinute Context triple: [Siphiwe Tshabalala scored a long-range opening goal, hasMatchMinute, 55th minute]
-
A.
hasMatch
Indicates that one entity corresponds to, aligns with, or is considered an equivalent or suitable counterpart to another entity.
-
B.
hasMatchFormat
Indicates that something (such as a game, event, or competition) is conducted according to a specified match format or structure.
-
C.
includesMatch
Indicates that one entity contains or encompasses a particular match or matching instance of another entity.
-
D.
isFinalHourOf
Indicates that one time period represents the last hour within the duration or schedule of another time-related entity.
-
E.
isThirtyMinutesBehind
Indicates that one entity’s time, schedule, or clock is exactly thirty minutes earlier than another reference time.
- 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_69e0c464fba881908d0ff2ac80511ce1 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef521679fc81909c94d42439fda4ba |
completed | April 27, 2026, 12:09 p.m. |
| PD | Predicate disambiguation | batch_69e69677b9c48190bf81f795aa8ad74e |
completed | April 20, 2026, 9:11 p.m. |
| PDg | Predicate description generation | batch_69e69cb4bcbc8190a4fc2d508df107be |
completed | April 20, 2026, 9:37 p.m. |
Created at: April 16, 2026, 6:34 p.m.