Triple
T15318653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | QAN |
E366228
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object | Quantico |
E11460
|
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: Quantico | Statement: [QAN, city, Quantico]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Quantico Context triple: [QAN, city, Quantico]
-
A.
Quantico
chosen
Quantico is a small town in Prince William County, Virginia, best known for hosting the Marine Corps Base Quantico and several major U.S. federal law enforcement training facilities.
-
B.
Quantico (TV series)
Quantico is an American thriller drama television series that follows a group of FBI recruits and agents as they navigate high-stakes terrorism investigations and personal betrayals.
-
C.
The Kill List
The Kill List is a contemporary thriller novel by Frederick Forsyth that follows an elite tracker hunting a mysterious jihadist terrorist known as "the Preacher."
-
D.
Eye in the Sky
Eye in the Sky is a 2015 British thriller film that explores the moral and legal complexities of modern drone warfare and targeted killings.
-
E.
Good Kill
Good Kill is a 2014 drama film written and directed by Andrew Niccol that explores the moral and psychological toll of modern drone warfare on a U.S. Air Force pilot.
- 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_69d85a121520819093dcce999fdefe1a |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03dd356b881908f054b64eee6a371 |
completed | April 16, 2026, 1:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fef8a9085881909904152c32b0fed1 |
completed | May 9, 2026, 9:04 a.m. |
Created at: April 10, 2026, 3:16 a.m.