Triple
T562550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Countess of Northesk |
E13483
|
entity |
| Predicate | associatedTerritorialDesignation |
P10500
|
FINISHED |
| Object | Northesk |
E8173
|
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: Northesk | Statement: [Countess of Northesk, associatedTerritorialDesignation, Northesk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Northesk Context triple: [Countess of Northesk, associatedTerritorialDesignation, Northesk]
-
A.
Northesk
chosen
Northesk is the territorial designation associated with the Scottish peerage title Earl of Northesk, historically linked to the Carnegie family.
-
B.
Southesk
Southesk is the traditional war cry associated with Clan Carnegie, a Scottish noble family from Angus.
-
C.
Pella Corporation
Pella Corporation is a major American manufacturer of windows and doors known for its innovative, energy-efficient building products.
-
D.
Shawmut
Shawmut is a neighborhood rapid transit station on Boston's MBTA Red Line, located in the Dorchester area.
-
E.
Onex
Onex is a suburban municipality in western Switzerland located just outside the city of Geneva.
- 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_69a4933edcf08190b35ecfd6014caee6 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49a700e608190b235246df057bd9b |
completed | March 1, 2026, 7:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4efcf05b88190a0fc2f2e86834248 |
completed | March 2, 2026, 2:02 a.m. |
Created at: March 1, 2026, 7:32 p.m.