Triple
T34902335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harghita Mountains |
E1006624
|
entity |
| Predicate | hasHotspotType |
P23547
|
FINISHED |
| Object | biodiversity hotspot |
—
|
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: biodiversity hotspot | Statement: [Harghita Mountains, hasHotspotType, biodiversity hotspot]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHotspotType Context triple: [Harghita Mountains, hasHotspotType, biodiversity hotspot]
-
A.
hotspotType
chosen
Indicates the specific category or kind of hotspot associated with an entity or location.
-
B.
containsHotspots
Indicates that one entity includes or encompasses specific hotspot areas or points within its scope or structure.
-
C.
isHotspotTrackOf
Indicates that one entity is a hotspot track that corresponds to, or is derived from, another entity.
-
D.
hotspot
Indicates that a location or entity is a focal point of intense activity, interest, or occurrence relative to others.
-
E.
hasPeakServiceType
Indicates that an entity is associated with a specific type or category of service provided during peak periods.
- 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_69f76dc1b4a081909b4c6e4d8ec0aa2d |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fd8e5f7c4c8190ab8e2f2a7bb1bd79 |
completed | May 8, 2026, 7:18 a.m. |
| PD | Predicate disambiguation | batch_69fd8d8a16f08190b9e880901bfa44fe |
completed | May 8, 2026, 7:15 a.m. |
Created at: May 3, 2026, 4 p.m.