Triple
T7300111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vallorbe |
E167824
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object | Orbe |
E300456
|
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: Orbe | Statement: [Vallorbe, hasRiver, Orbe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Orbe Context triple: [Vallorbe, hasRiver, Orbe]
-
A.
Orbe
chosen
The Orbe is a river in western Switzerland and eastern France that flows through the Jura region before joining the Aare river system.
-
B.
Orbiel
The Orbiel is a river in southern France that flows through the Aude department before joining the Aude River.
-
C.
Oribos
Oribos is the central hub city and afterlife crossroads in World of Warcraft: Shadowlands, where players gather, trade, and access the expansion’s various realms.
-
D.
Oro
Oro is an ethnic group indigenous to Nigeria’s Akwa Ibom State, known for its distinct language and coastal cultural heritage.
-
E.
Ermera
Ermera is a mountainous municipality in central Timor-Leste known for its coffee production and significant Mambae-speaking population.
- 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_69c6888c820881909fc68f689fe1c251 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6ebaef4a081908fadc6d5e2621e80 |
completed | March 27, 2026, 8:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7e554833c8190ac124421379639bd |
completed | March 28, 2026, 2:27 p.m. |
Created at: March 27, 2026, 3:01 p.m.