Triple
T17031113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haymitch Abernathy |
E413194
|
entity |
| Predicate | country |
P26
|
FINISHED |
| Object | Panem |
E571335
|
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: Panem | Statement: [Haymitch Abernathy, country, Panem]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Panem Context triple: [Haymitch Abernathy, country, Panem]
-
A.
Panem
chosen
Panem is the dystopian North American nation in Suzanne Collins' "The Hunger Games" series, ruled by an authoritarian Capitol that oppresses its surrounding districts.
-
B.
Katni
Katni is an industrial city in central India known for its cement factories, railway junction, and marble and limestone mining.
-
C.
District 12
District 12 is a regional division of Caltrans responsible for planning, constructing, and maintaining the state highway system in Orange County, California.
-
D.
District 12
District 12 is the impoverished coal-mining district in Panem best known as the home of Katniss Everdeen in The Hunger Games series.
-
E.
Pajottenland
Pajottenland is a rural region in the southwest of the Belgian province of Flemish Brabant, known for its rolling countryside, traditional farms, and production of lambic and gueuze beers.
- 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_69d886cd18288190b006abab23f811b7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d5d9e7d481909d3d5bd241bd68f1 |
completed | April 18, 2026, 7:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a011b5748bc8190832737a70219e7a1 |
completed | May 10, 2026, 11:57 p.m. |
Created at: April 10, 2026, 5:33 a.m.