Triple
T3457316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Borough government of Milpa Alta |
E72935
|
entity |
| Predicate | typeOfRegionGoverned |
P21121
|
FINISHED |
| Object | rural area |
—
|
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: rural area | Statement: [Borough government of Milpa Alta, typeOfRegionGoverned, rural area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfRegionGoverned Context triple: [Borough government of Milpa Alta, typeOfRegionGoverned, rural area]
-
A.
governsTerritoryType
chosen
Indicates that an authority or governing body exercises official control or administration over a specified type of territory.
-
B.
governedTerritory
Indicates that one entity exercises political authority or control over another entity or geographic area as its governing power.
-
C.
governanceArea
Indicates the geographic or jurisdictional area over which an entity has governing authority or responsibility.
-
D.
regionType
Indicates the classification or category of a region, specifying what kind of region it is (e.g., administrative, geographic, or functional).
-
E.
organizationTypeGoverned
Indicates that one entity governs or has authoritative control over a specific type or category of organization.
- 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_69ad85b12a908190a1d10a6b03b4f8ae |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbaa9837c8190aafd618c6af3446e |
completed | March 8, 2026, 6:06 p.m. |
| PD | Predicate disambiguation | batch_69adae041d588190a84a02bca94adec8 |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:16 p.m.