Triple
T9695746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nestor |
E234644
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Egger Highlands |
E810479
|
NE 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: Egger Highlands | Statement: [Nestor, borderedBy, Egger Highlands]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Egger Highlands Context triple: [Nestor, borderedBy, Egger Highlands]
-
A.
Egger Highlands
chosen
Egger Highlands is a residential neighborhood in the southern part of San Diego, California, near the U.S.–Mexico border.
-
B.
Vienna Woods
The Vienna Woods is a forested highland region in eastern Austria known for its natural beauty, hiking trails, and role as a green belt near Vienna.
-
C.
Spruce Hill
Spruce Hill is a primarily residential neighborhood in West Philadelphia known for its historic Victorian architecture and proximity to the University of Pennsylvania.
-
D.
Addington Highlands
Addington Highlands is a rural township in eastern Ontario, Canada, known for its lakes, forests, and outdoor recreation areas.
-
E.
Treisberg
Treisberg is a small village and district within the municipality of Schmitten in the Hochtaunus region of Hesse, Germany.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca84cb580c8190a7e5f4b3bcdaf2a4 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9d366c488190bc153c68fef197c2 |
completed | April 1, 2026, 10:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1912216d481909f6a0f977d570a93 |
completed | April 4, 2026, 10:30 p.m. |
Created at: March 30, 2026, 8:17 p.m.