Triple
T682356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Batticaloa |
E13209
|
entity |
| Predicate | isRegionalPort |
P17488
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Batticaloa, isRegionalPort, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isRegionalPort Context triple: [Batticaloa, isRegionalPort, true]
-
A.
hasRegionalIdentity
Indicates that an entity possesses or is associated with a specific regional or local identity.
-
B.
isKeyRegionFor
Indicates that one region plays a central or strategically important role in relation to a specified process, function, or larger area.
-
C.
hasRegion
Indicates that an entity includes, contains, or is associated with a specific geographic or administrative region as part of its scope or structure.
-
D.
hasPostalAddressRegion
Indicates the region component (such as state, province, or area) associated with an entity’s postal address.
-
E.
hasRegionalRole
Indicates that an entity holds a specific role, function, or responsibility within a defined geographic region.
- F. None of above. chosen
Provenance (4 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_69a4933e0f98819097d22766c49b61b8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4a06f9ee88190a2d757aacd8e3f5b |
completed | March 1, 2026, 8:24 p.m. |
| PD | Predicate disambiguation | batch_69a49d1f0ccc819088c1527beabcb718 |
completed | March 1, 2026, 8:10 p.m. |
| PDg | Predicate description generation | batch_69a49df19c9481909cc9bc33ed7f011b |
completed | March 1, 2026, 8:13 p.m. |
Created at: March 1, 2026, 7:36 p.m.