Triple
T1265476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oxfordshire |
E12590
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Thame |
E35624
|
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: Thame | Statement: [Oxfordshire, contains, Thame]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thame Context triple: [Oxfordshire, contains, Thame]
-
A.
Thame
chosen
Thame is a historic market town in Oxfordshire, England, known for its traditional architecture and vibrant local community.
-
B.
Nelspruit
Nelspruit is a city in northeastern South Africa, now known as Mbombela, noted as a regional hub near Kruger National Park and for hosting matches during the 2010 FIFA World Cup.
-
C.
Khami River
The Khami River is a watercourse in southwestern Zimbabwe that flows near the historic Khami Ruins, an important archaeological site of the precolonial Torwa state.
-
D.
Lomwe
Lomwe is a Bantu language spoken primarily in Mozambique and Malawi by the Lomwe people.
-
E.
Lusiana
Lusiana is a small town in the Veneto region of northern Italy, known as the birthplace of Indian politician Sonia Gandhi.
- 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_69a4933352e08190ac617291985e76c0 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4c036deb881909b234894347c75c6 |
completed | March 1, 2026, 10:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acbf1fa1148190a8a8a5b3e34946f0 |
completed | March 8, 2026, 12:13 a.m. |
Created at: March 1, 2026, 7:50 p.m.