Triple
T22628442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Con Thien |
E558485
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | DMZ |
—
|
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: DMZ | Statement: [Con Thien, locatedNear, DMZ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DMZ Context triple: [Con Thien, locatedNear, DMZ]
-
A.
DMZ
DMZ is a Milestone Media comic book character known for his immense power and near-invulnerability, often depicted as a mysterious and formidable figure.
-
B.
DMZ
chosen
DMZ is the heavily fortified buffer zone separating North and South Korea, established after the Korean War to reduce military tensions between the two countries.
-
C.
Zona
Zona is the former name of the city now known as Davie in Broward County, Florida.
-
D.
Joint Security Area
The Joint Security Area is the heavily guarded section of the Korean Demilitarized Zone where North and South Korean forces stand face-to-face and diplomatic negotiations are conducted.
-
E.
Chehlum
Chehlum is a significant Shia Muslim religious observance marking the 40th day of mourning for Imam Husayn ibn Ali and the martyrs of Karbala.
- 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_69e245467d9881908d6985bd0db7a1f1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f16e3ed1d48190a093013d829901b9 |
completed | April 29, 2026, 2:34 a.m. |
Created at: April 17, 2026, 3:02 p.m.