Triple
T13379292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mishmar HaGvul |
E319272
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | Magav |
E319271
|
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: Magav | Statement: [Mishmar HaGvul, shortName, Magav]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Magav Context triple: [Mishmar HaGvul, shortName, Magav]
-
A.
Magav
chosen
Magav is the Hebrew name for Israel’s Border Police, a gendarmerie-style force responsible for border security, counterterrorism, and law enforcement in sensitive areas.
-
B.
Magaw
Magaw is a surname most notably associated with Robert Magaw, an American lawyer and Continental Army officer during the Revolutionary War.
-
C.
Mahagi
Mahagi is a town in northeastern Democratic Republic of the Congo, located near the border with Uganda in Ituri Province.
-
D.
Mazani
Mazani is an alternative name for the Mazanderani language, an Iranian language spoken primarily along the southern coast of the Caspian Sea in northern Iran.
-
E.
Maho
Maho is a town in Sri Lanka’s North Western Province known as a local commercial and transport hub in the Kurunegala District.
- 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_69d806b886bc8190b676e7768b8e01c5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dadce56c6c8190adf4e19f6d1bc233 |
completed | April 11, 2026, 11:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f726893a8c8190b26b5f7c7fb96f1f |
completed | May 3, 2026, 10:42 a.m. |
Created at: April 9, 2026, 9:33 p.m.