Triple
T3025913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Galle International Stadium |
E82573
|
entity |
| Predicate | firstTestDate |
P26328
|
FINISHED |
| Object | 1998 |
—
|
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: 1998 | Statement: [Galle International Stadium, firstTestDate, 1998]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstTestDate Context triple: [Galle International Stadium, firstTestDate, 1998]
-
A.
firstTestYear
chosen
Indicates the year in which an entity’s first test or testing activity took place.
-
B.
lastTestDate
Indicates the date on which the most recent test associated with the entity was conducted.
-
C.
firstReachedDate
Indicates the date on which a particular entity first achieved, accessed, or arrived at a specified state, location, or milestone.
-
D.
firstHoverDate
Indicates the date on which an entity was first hovered over (e.g., by a cursor or pointer) for the first time.
-
E.
firstRecordingDate
Indicates the date on which an entity’s first recording (e.g., audio, video, or similar captured performance) was made.
- 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_69ad8b1fb34081908c1b873e2b7273e1 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9abc78b48190a5283e7407a78fe7 |
completed | March 8, 2026, 3:50 p.m. |
| PD | Predicate disambiguation | batch_69ad961c430c8190ac48f2e3c7e7c649 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 3 p.m.