Triple
T7455398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arauca Department |
E172108
|
entity |
| Predicate | majorCity |
P316
|
FINISHED |
| Object | Saravena |
E665974
|
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: Saravena | Statement: [Arauca Department, majorCity, Saravena]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saravena Context triple: [Arauca Department, majorCity, Saravena]
-
A.
Saravena
chosen
Saravena is a Colombian town and municipality located in the northeastern oil-producing and conflict-affected region near the border with Venezuela.
-
B.
Renaelva
Renaelva is a river in eastern Norway that flows through Hedmark county before joining the larger Glomma river.
-
C.
Novilara
Novilara is an archaeological site and locality in the Marche region of Italy, known for its ancient Picene culture remains and notable funerary stelae.
-
D.
Relva
Relva is a civil parish located within the municipality of Ponta Delgada on São Miguel Island in the Azores, Portugal.
-
E.
Tynaarlo
Tynaarlo is a municipality in the northeastern Netherlands known for its rural character and location between the cities of Groningen and Assen.
- 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_69c68a66554c8190add75c65942c0317 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f3af58dc819093fb0482482779a3 |
completed | March 27, 2026, 9:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c83c5bab90819093431470e0e8c0e3 |
completed | March 28, 2026, 8:38 p.m. |
Created at: March 27, 2026, 3:15 p.m.