Triple
T27283790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Flores |
E688411
|
entity |
| Predicate | hasNeighborRegion |
P17964
|
FINISHED |
| Object | Western Flores |
—
|
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: Western Flores | Statement: [Central Flores, hasNeighborRegion, Western Flores]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNeighborRegion Context triple: [Central Flores, hasNeighborRegion, Western Flores]
-
A.
neighboringRegion
chosen
Indicates that two regions share a common boundary or are directly adjacent to each other geographically.
-
B.
hasNeighbouringState
Indicates that one state shares a common border or is directly adjacent geographically to another state.
-
C.
hasNeighboringZone
Indicates that one zone is directly adjacent to or shares a boundary with another zone.
-
D.
regionalNeighbor
Indicates that two regions share a common boundary or are directly adjacent to each other geographically.
-
E.
hasNeighboringFeature
Indicates that one feature is located adjacent to or directly next to another feature in space.
- 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_69ef355998e08190bdff849e8f33adce |
completed | April 27, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69fcab6e888881908ca9e18660928a40 |
completed | May 7, 2026, 3:10 p.m. |
| PD | Predicate disambiguation | batch_69fc4562a5b88190bad48f083a6dcdfa |
completed | May 7, 2026, 7:55 a.m. |
Created at: April 27, 2026, 11:09 a.m.