Triple
T9230287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hartz III |
E221798
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object | Hartz I |
E218918
|
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: Hartz I | Statement: [Hartz III, relatedTo, Hartz I]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hartz I Context triple: [Hartz III, relatedTo, Hartz I]
-
A.
Hartz I
chosen
Hartz I was the first package of German labor market reforms in the early 2000s, aimed at modernizing employment services and promoting job placement and temporary work.
-
B.
Hartz III
Hartz III was a German labor market reform package implemented in the early 2000s that restructured the Federal Employment Agency to improve job placement and labor market services.
-
C.
Hartz II
Hartz II is a German labor market reform package introduced in the early 2000s that, among other measures, created new forms of marginal employment such as “Mini-jobs” and “Midi-jobs” to increase labor market flexibility.
-
D.
Hart
Hart is a local government district and civil parish area in Hampshire, England, known for its high quality of life and largely rural character.
-
E.
Hart
Hart is a surname most famously associated with Moss Hart, the acclaimed American playwright and theater director known for works like "You Can't Take It with You" and "Once in a Lifetime."
- 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_69ca83ed628c8190bc02d641e57f097f |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccee17a2dc8190b373f78be7247f0d |
completed | April 1, 2026, 10:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d077a789f0819087d7f7612bbeaf6a |
completed | April 4, 2026, 2:29 a.m. |
Created at: March 30, 2026, 7:29 p.m.