Triple
T26663645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avenida Eugenio María de Hostos |
E672119
|
entity |
| Predicate | hasMultipleOccurrencesIn |
P62241
|
FINISHED |
| Object | multiple Puerto Rican municipalities |
—
|
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: multiple Puerto Rican municipalities | Statement: [Avenida Eugenio María de Hostos, hasMultipleOccurrencesIn, multiple Puerto Rican municipalities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMultipleOccurrencesIn Context triple: [Avenida Eugenio María de Hostos, hasMultipleOccurrencesIn, multiple Puerto Rican municipalities]
-
A.
hasMultiple
chosen
Indicates that an entity is associated with more than one instance or occurrence of another related entity.
-
B.
occursEvery
Indicates that an event or action happens repeatedly at regular, specified intervals.
-
C.
occursFor
Indicates that an event, process, or condition takes place in relation to, or on behalf of, a particular entity or context.
-
D.
hasRepetition
Indicates that something occurs, appears, or is performed more than once, showing recurrence or repeated instances within a given context.
-
E.
hasMultipleCreations
Indicates that an entity is associated with more than one distinct creation or produced work.
- 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_69eecda00a9c8190b2691f4d89db03b6 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f6b2a65c7c8190ac40f1466ceadefc |
completed | May 3, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f6b14d7d508190bc7d4c89dfba4a32 |
completed | May 3, 2026, 2:22 a.m. |
Created at: April 27, 2026, 3:07 a.m.