Triple
T37867597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Río Darro |
E944517
|
entity |
| Predicate | discurreJuntoA |
P189303
|
FINISHED |
| Object | Alhambra |
—
|
NE NERFINISHED |
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: Alhambra | Statement: [Río Darro, discurreJuntoA, Alhambra]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: discurreJuntoA Context triple: [Río Darro, discurreJuntoA, Alhambra]
-
A.
discourse
Indicates that one entity engages in extended verbal or written communication or discussion with another entity.
-
B.
discussedAs
Indicates that one entity is talked about, treated, or examined in terms of another entity, often as an example, case, or framing concept.
-
C.
discussed
Indicates that one entity talked about, examined, or debated a topic, issue, or other entity with someone else.
-
D.
discussionsTo
Indicates a relationship in which one entity leads to, results in, or gives rise to discussions involving another entity.
-
E.
discourseType
Indicates the specific kind or category of discourse (such as narrative, argument, explanation, or dialogue) that characterizes a given communicative act or text.
- 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_69f76eee2f9c8190b1272aa2ee55ebf5 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbbae559a8819086ef839973f8d9b2 |
completed | May 6, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69fbb1440fa08190abf25ba684f75b6e |
completed | May 6, 2026, 9:23 p.m. |
| PDg | Predicate description generation | batch_69fbbae3fc508190adff3d7abbf107a4 |
completed | May 6, 2026, 10:04 p.m. |
Created at: May 3, 2026, 4:19 p.m.