Triple
T14441725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agrippa II |
E358097
|
entity |
| Predicate | territoryRuled |
P3022
|
FINISHED |
| Object | Trachonitis |
E425068
|
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: Trachonitis | Statement: [Agrippa II, territoryRuled, Trachonitis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trachonitis Context triple: [Agrippa II, territoryRuled, Trachonitis]
-
A.
Trachonitis
chosen
Trachonitis was an ancient region in the northeastern part of the Roman province of Syria, known from the New Testament as part of the Herodian domains.
-
B.
Cilicia Trachea
Cilicia Trachea was the rugged, mountainous western part of ancient Cilicia in southeastern Asia Minor, known for its steep coastline, forests, and historical reputation as a haven for pirates.
-
C.
Trioditis
Trioditis is an epithet of the Greek goddess Hecate that emphasizes her association with crossroads and liminal spaces.
-
D.
Angitis
Angitis is a river in northern Greece that serves as a significant tributary of the Struma (Strymon) River, contributing to its flow toward the Aegean Sea.
-
E.
Hoest
Hoest is a village-level district and municipal subdivision of the town of Ennigerloh in North Rhine-Westphalia, Germany.
- 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_69d8279402a88190821ffa39ae15bccf |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de915d28ec81909e72124e9dd67bfb |
completed | April 14, 2026, 7:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd5bda6ee88190aeec77092eb3576a |
completed | May 8, 2026, 3:43 a.m. |
Created at: April 10, 2026, 1:18 a.m.