Triple
T5241306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Algés |
E118346
|
entity |
| Predicate | hostsEventArea |
P58154
|
FINISHED |
| Object | concert and festival grounds near Tagus river |
—
|
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: concert and festival grounds near Tagus river | Statement: [Algés, hostsEventArea, concert and festival grounds near Tagus river]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hostsEventArea Context triple: [Algés, hostsEventArea, concert and festival grounds near Tagus river]
-
A.
hostsEvent
Indicates that an entity organizes and provides the venue or setting for an event to take place.
-
B.
countryHostedEvent
Indicates that a specific country served as the host location for a particular event.
-
C.
hostsTypeOfEvent
chosen
Indicates that an entity organizes or provides the venue for a particular type or category of event.
-
D.
eventIn
Indicates that an event occurs within, or is situated in, a specific location, context, or larger event.
-
E.
homeVenueAppearances
Indicates the number of times an entity has appeared or performed at its designated home venue.
- 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_69bd4467db0881909b3b0982df32cc8f |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7b2c50508190b84bab216c30cbfe |
completed | March 20, 2026, 4:51 p.m. |
| PD | Predicate disambiguation | batch_69bd77c1397c8190a7fd844d7a396e54 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:49 p.m.