Triple
T18315624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Western Defense Command exclusion zones |
E438746
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Military Area No. 1 |
—
|
NE NERFINISHED |
How this triple was built (3 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: Military Area No. 1 | Statement: [Western Defense Command exclusion zones, hasPart, Military Area No. 1]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Military Area No. 1 Context triple: [Western Defense Command exclusion zones, hasPart, Military Area No. 1]
-
A.
Campo Militar No. 1
Campo Militar No. 1 is a major Mexican military base complex in Mexico City that serves as a central hub for army operations, training, and administration.
-
B.
Tapa Army Base
Tapa Army Base is a major Estonian military installation that hosts NATO’s Enhanced Forward Presence battlegroup and serves as a key hub for allied defense on NATO’s eastern flank.
-
C.
Onsan National Industrial Complex
Onsan National Industrial Complex is a major South Korean industrial zone in Ulsan known for its large-scale petrochemical, metal, and heavy manufacturing facilities.
-
D.
Banwol Industrial Complex
Banwol Industrial Complex is a major industrial zone in South Korea known for its concentration of manufacturing and high-tech factories, particularly in the city of Ansan.
-
E.
Three Arms Zone
Three Arms Zone is a prominent government district in Abuja, Nigeria, that houses the country’s three main branches of government: the executive, legislative, and judicial arms.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Military Area No. 1 Target entity description: Military Area No. 1 was a World War II U.S. West Coast military zone from which Japanese Americans were forcibly removed and incarcerated under wartime exclusion orders.
-
A.
Campo Militar No. 1
Campo Militar No. 1 is a major Mexican military base complex in Mexico City that serves as a central hub for army operations, training, and administration.
-
B.
Tapa Army Base
Tapa Army Base is a major Estonian military installation that hosts NATO’s Enhanced Forward Presence battlegroup and serves as a key hub for allied defense on NATO’s eastern flank.
-
C.
Onsan National Industrial Complex
Onsan National Industrial Complex is a major South Korean industrial zone in Ulsan known for its large-scale petrochemical, metal, and heavy manufacturing facilities.
-
D.
Banwol Industrial Complex
Banwol Industrial Complex is a major industrial zone in South Korea known for its concentration of manufacturing and high-tech factories, particularly in the city of Ansan.
-
E.
Three Arms Zone
Three Arms Zone is a prominent government district in Abuja, Nigeria, that houses the country’s three main branches of government: the executive, legislative, and judicial arms.
- F. None of above. chosen
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_69d8b916a2d081909e249e4902f6aad9 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e5021cc70c8190bf43bd75e4af7381 |
completed | April 19, 2026, 4:26 p.m. |
Created at: April 10, 2026, 10:36 a.m.