Triple
T11800000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tenosique |
E280598
|
entity |
| Predicate | hasPublicDiscussionTopic |
P33880
|
FINISHED |
| Object | migration policy |
—
|
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: migration policy | Statement: [Tenosique, hasPublicDiscussionTopic, migration policy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPublicDiscussionTopic Context triple: [Tenosique, hasPublicDiscussionTopic, migration policy]
-
A.
hasDiscussionPages
Indicates that an entity is associated with one or more pages where discussions or conversations about it take place.
-
B.
hasCollaborationTopic
Indicates that two or more entities are engaged in a collaboration focused on a specified topic or subject area.
-
C.
hasDiscussionSystem
Indicates that an entity is equipped with or supports a system for facilitating discussions or conversations.
-
D.
containsDiscussionOf
chosen
Indicates that one entity includes or features a discussion, treatment, or consideration of another entity as a topic or subject.
-
E.
hasAdditionalForum
Indicates that an entity is associated with one or more supplementary or secondary discussion forums beyond its primary forum.
- 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_69d6ab258b808190b1735835c841e3a4 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a5a4512c8190b7782e1dee053000 |
completed | April 10, 2026, 7:24 a.m. |
| PD | Predicate disambiguation | batch_69d8a2491f048190853239bc05090bf4 |
completed | April 10, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:42 p.m.