Triple
T10220559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Termunten |
E242564
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Termunterzijl |
E242565
|
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: Termunterzijl | Statement: [Termunten, locatedNear, Termunterzijl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Termunterzijl Context triple: [Termunten, locatedNear, Termunterzijl]
-
A.
Termunterzijl
chosen
Termunterzijl is a small village in the province of Groningen in the Netherlands, known for its historic sluices and location near the Ems estuary.
-
B.
Terskol
Terskol is a small settlement in Russia’s North Caucasus region, known as a gateway to Mount Elbrus and a base for mountain tourism and alpine research.
-
C.
Ten’edn
Ten’edn is an Aslian language spoken by an indigenous community in the Malay Peninsula, belonging to the broader Austroasiatic language family.
-
D.
Tenom
Tenom is a rural interior town and district in the Malaysian state of Sabah, known for its agriculture, coffee production, and Murut cultural heritage.
-
E.
Terling
Terling is a small rural village and civil parish in the county of Essex in eastern England, known for its historic buildings and countryside setting.
- 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_69d381ae26c48190985abd0e25ee5d04 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d3aa72b258819097d8d50a714e19dc |
completed | April 6, 2026, 12:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6a82c98fc8190929b7b56f9a6e60d |
completed | April 8, 2026, 7:10 p.m. |
Created at: April 6, 2026, 11:09 a.m.