Triple
T2341197
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | US Open (tennis) |
E45029
|
entity |
| Predicate | currentVenueSince |
P5127
|
FINISHED |
| Object | 1978 |
—
|
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: 1978 | Statement: [US Open (tennis), currentVenueSince, 1978]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currentVenueSince Context triple: [US Open (tennis), currentVenueSince, 1978]
-
A.
usualVenueSince
Indicates that a particular venue has been the regular or customary location for something (e.g., an event or activity) starting from a specified point in time.
-
B.
previousVenue
Indicates that one venue was used or occupied before another in a sequence of venues.
-
C.
venueSinceYear
Indicates that a venue has been operating or established since a specified year.
-
D.
legacyVenue
Indicates that a venue has historical or long-standing significance, often preserved or recognized due to its past importance or enduring role.
-
E.
currentLocationSince
chosen
Indicates the point in time since which an entity has been at its current location.
- 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_69a88917935081909b755dbf38e81024 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abcade3c808190ab3803538ccbe620 |
completed | March 7, 2026, 6:51 a.m. |
| PD | Predicate disambiguation | batch_69abc59616a8819099711834e6f1ccd6 |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:52 p.m.