Triple
T36505740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Municipality of Rumiñahui |
E899454
|
entity |
| Predicate | subdivisionNameAdministered |
P185369
|
FINISHED |
| Object | Rumiñahui |
—
|
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: Rumiñahui | Statement: [Municipality of Rumiñahui, subdivisionNameAdministered, Rumiñahui]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subdivisionNameAdministered Context triple: [Municipality of Rumiñahui, subdivisionNameAdministered, Rumiñahui]
-
A.
subdivisionNameType
Indicates the type or category of a named geographic or administrative subdivision (e.g., province, state, district) associated with an entity.
-
B.
subdivisionNameDivision
chosen
Indicates that a named subdivision (such as a section or unit) belongs to or is part of a larger division.
-
C.
subdivisionOfName
Indicates that the given name is the name of a larger administrative or territorial unit of which the subject entity is a subdivision.
-
D.
subdivisionNameCensusDivision
Indicates that a census division is identified by or associated with a specific subdivision name.
-
E.
subdivisionName0
Indicates the name assigned to the first (primary) subdivision or sub-unit associated with an entity.
- 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_69f76e5b92088190933afda3f7531dd4 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c371931c8190afb1d4dd5157f92c |
completed | May 3, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69f7c1b91fd88190ab85afd626603769 |
completed | May 3, 2026, 9:44 p.m. |
Created at: May 3, 2026, 4:10 p.m.