Triple
T23010211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eburones |
E572884
|
entity |
| Predicate | neighboringTribe |
P11274
|
FINISHED |
| Object | Segni |
—
|
NE NERFINISHED |
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: Segni | Statement: [Eburones, neighboringTribe, Segni]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Segni Context triple: [Eburones, neighboringTribe, Segni]
-
A.
Segni
chosen
Segni is an ancient hilltop town in the Lazio region of central Italy, known for its well-preserved polygonal walls and historic Roman and medieval heritage.
-
B.
Signo
Signo is a popular line of gel ink pens produced by Mitsubishi Pencil Company, known for their smooth writing performance and vibrant, long-lasting colors.
-
C.
Signes
Signes is a collection of philosophical essays by Maurice Merleau-Ponty that explores themes in phenomenology, language, perception, and politics.
-
D.
Signes
Signes is a small commune in the Var department of southeastern France, situated inland from the Mediterranean coast in the Provence-Alpes-Côte d’Azur region.
-
E.
Signs
Signs is a collection of philosophical essays by Maurice Merleau-Ponty that explores language, expression, and meaning within his phenomenological framework.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245b764cc8190a51be76f1d9611e1 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18359f5548190b15a139eb09e30a0 |
completed | April 29, 2026, 4:04 a.m. |
Created at: April 17, 2026, 3:51 p.m.