Triple
T20920814
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sabana Abajo |
E515200
|
entity |
| Predicate | hasCommercialZones |
P459
|
FINISHED |
| Object | some commercial areas |
—
|
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: some commercial areas | Statement: [Sabana Abajo, hasCommercialZones, some commercial areas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCommercialZones Context triple: [Sabana Abajo, hasCommercialZones, some commercial areas]
-
A.
hasNoCommercialZone
Indicates that the subject area or entity does not contain any designated commercial zone or commercial-use area.
-
B.
hasLimitedCommercialAreas
Indicates that the subject possesses or is characterized by commercial zones that are restricted in size, extent, or availability.
-
C.
hasDRSZones
Indicates that one entity possesses, defines, or is associated with specific DRS (Disaster Recovery Site or similarly defined) zones.
-
D.
hasBusinessDistrict
chosen
Indicates that a place or administrative area contains or includes a designated business district within its boundaries.
-
E.
hasIndustrialZoneAlong
Indicates that an industrial zone is located adjacent to or extending along the length of a specified linear feature (such as a road, river, or boundary).
- 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_69e0b4f9d5ec8190bb2bd27350ed341c |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6ec677338819081410cbaa2846260 |
completed | April 21, 2026, 3:17 a.m. |
| PD | Predicate disambiguation | batch_69e5c9af1fe08190953366a466950140 |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 12:48 p.m.