Triple
T20633711
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ἰδουμαία |
E507020
|
entity |
| Predicate | hasNotableCity |
P2813
|
FINISHED |
| Object | Mareshah |
—
|
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: Mareshah | Statement: [Ἰδουμαία, hasNotableCity, Mareshah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mareshah Context triple: [Ἰδουμαία, hasNotableCity, Mareshah]
-
A.
Mareshah
chosen
Mareshah was an ancient fortified city of Judah, mentioned in the Hebrew Bible and located in the lowland region of southern Israel.
-
B.
Zahleh
Zahleh is a major city in Lebanon’s Beqaa Valley, known for its predominantly Christian population, wineries, and role as a regional cultural and economic center.
-
C.
Tell Abil el-Qamh
Tell Abil el-Qamh is an archaeological mound in northern Israel identified with the ancient biblical city of Abel Beth Maacah.
-
D.
Kafr Saqr
Kafr Saqr is a city in northeastern Egypt known as one of the main urban centers of the Sharqia Governorate.
-
E.
Ain El Mreisseh
Ain El Mreisseh is a coastal neighborhood in Beirut, Lebanon, known for its seaside promenade, hotels, and proximity to the city’s central districts.
- 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_69e0b4bd4a0081908d4e97a590a33fb2 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6ad0d808c81908a60abd02a22ed92 |
completed | April 20, 2026, 10:47 p.m. |
Created at: April 16, 2026, 11:42 a.m.