Triple
T22456413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ésera |
E555127
|
entity |
| Predicate | hasName |
P744
|
FINISHED |
| Object | Ésera |
—
|
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: Ésera | Statement: [Ésera, hasName, Ésera]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ésera Context triple: [Ésera, hasName, Ésera]
-
A.
Ésera
chosen
Ésera is a river in northeastern Spain that flows through the province of Huesca in the Aragon region, contributing to the Ebro river basin.
-
B.
Seraiah
Seraiah is a biblical figure mentioned in the Hebrew Bible, known as a priestly ancestor in the lineage leading to Jehozadak.
-
C.
Ezer
Ezer is a Hebrew given name most notably borne by Ezer Weizman, the seventh President of Israel and a former commander of the Israeli Air Force.
-
D.
Eldad
Eldad is the commonly used name of Israel Eldad, a prominent Israeli philosopher, Revisionist Zionist thinker, and influential intellectual figure in the mid-20th century.
-
E.
Azarias
Azarias is the Hebrew name traditionally associated with Abednego, one of the three youths in the biblical Book of Daniel who survived the fiery furnace.
- 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_69e11e51fdec8190adfdf9f8a6362221 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15b7c428c8190847a259eef969525 |
completed | April 29, 2026, 1:14 a.m. |
Created at: April 16, 2026, 8:48 p.m.